Babylon is also planning to introduce Bitcoin-backed DeFi insurance, letting BTC holders earn yield while underwriting risk against hacks and exploits.  ( 32 min )

Regulators have not decided whether the token will be tied to the Taiwan dollar or the U.S. dollar, a choice that will determine how deeply it tests the island’s currency controls.  ( 32 min )

IBIT options are the ninth largest in the U.S.  ( 33 min )

The new leadership role was announced by the current Binance CEO Richard Teng at Binance Blockchain Week in Dubai.  ( 32 min )

Glassnode and Fasanara’s year-end report shows record inflows, rising realized cap, and falling volatility, suggesting the latest pullback is a mid-cycle reset rather than the start of a long downturn. Present market dynamics point to a mid-cycle pullback rather than a full-blown crypto winter, Glassnode and Fasanara argued.  ( 33 min )

Key resistance levels were tested, with momentum indicators supporting continued bullish movement.  ( 33 min )

The $6,500 call option on Deribit is the most popular, with a notional open interest of over $380 million.  ( 31 min )

The recovery followed a washout in derivatives markets, where roughly $457 million in short positions were liquidated in the past 24 hours.  ( 33 min )

XRP Ledger network activity surged to multi-year highs, with 40,000 account set operations  ( 32 min )

Ether looks north after a confirmed bear trap.  ( 32 min )

The deal brings market-implied probabilities into CNN’s newsroom and introduces a Kalshi-powered ticker for segments that rely on event contracts.  ( 31 min )

Let’s be real for a second. Insurance apps are full of repetitive, predictable flows: Do we really want to rebuild the same steps every single time? Guidewire took one look at that chaos and said: “Developers deserve better. And faster. And less repetitive stress.” That’s why Patterns exist in JDP (Jutro Digital Platform). If Jutro Components are the LEGO bricks, Patterns are the pre-built LEGO sets that already look like a car, a house, or a spaceship, you just customize the colors and stickers. In simple words: Patterns are reusable, ready-to-go UI flows built from multiple Jutro components, designed specifically for insurance journeys. You don’t have to reinvent multi-step forms, document upload flows, payment steps, quote summaries, or review pages. Patterns say: It’s like having a fri…  ( 7 min )

I spent two months building a feature that I deleted in a single afternoon. The code was clean. The tests passed. The architecture was solid. But the fundamental approach was wrong, and no amount of refactoring could save it. I had optimized for the wrong metric, built for the wrong use case, and designed around assumptions that reality brutally disproved. Two months of work. Gone. My first instinct was to bury it. Pretend it never happened. Move on to the next thing and hope nobody asked too many questions about that mysterious gap in my commit history. After all, why would I want to document my failure publicly? Then I wrote a post-mortem. Not for my team—for the internet. I published everything: what I built, why it failed, what I should have done differently, and the specific warning s…  ( 13 min )

Let’s be honest: we all care about bundle size. Or at least, we should. For years, bundlesize was the go-to tool for this. It was the venerated guardian of our build pipelines, ensuring we didn't accidentally ship a 5MB lodash import to production. Sadly, it has become outdated and unmaintained. I'd hoped for it to be updated, but as security checks began to scream at me for its transitive dependencies exposing all manner of issues, a replacement had to be found. As one didn't simply materialize in the ecosystem, I decided I had to build one myself. Hence, Overweight 🧳⚖️. It’s a lightweight, modern replacement for bundlesize that helps you keep your file sizes in check. It supports Gzip and Brotli compression out of the box and integrates seamlessly with your CI. The concept is simple: y…  ( 7 min )

Remote software teams are now the norm, offering global talent but also plenty of challenges such as scattered time zones, miscommunication, missed dependencies, and delayed handoffs. Without a clear plan, even strong teams can feel like they are running in circles. This article will show how a well-defined task sequence brings structure, clarity, and smoother collaboration to remote development teams. You will discover the importance of task sequences, common patterns, and practical steps to implement them, along with tips and tools to keep your team aligned and working in sync. A task sequence is more than a list of things to do. It is an ordered set of development tasks showing dependencies, triggers, and outcomes. In software projects, tasks can include coding, code reviews, testing, d…  ( 12 min )

Everyday I see a shiny new AI tool for coding: AI that writes code AI that explains code AI that reviews code AI that documents code AI that fixes bugs you didn’t even know you had Amazing. Useful. Love that for everyone. But being around developers all the time, I’ve realized something: The most exhausting parts of a developer’s job have nothing to do with writing code. We’re drowning in tools that help you code… Here are the AI tools devs actually need: 🔥 1. AI that explains a PR like a normal human Not “diff stats.” But: What changed Why it changed What broke What’s risky Who touched this last Why the code looks haunted Basically a PR therapist. 🔥 2. AI that reads Slack and gives you the real summary Because let’s be honest: 70% of Slack is noise 20% is memes 9% is confusion 1% is the thing you actually needed to know Where is the AI that says: “Here’s the ONLY thing that mattered from yesterday. You’re welcome.” 🔥 3. AI that remembers WHY someone wrote cursed code Dev: “Who wrote this?” We need an AI that reconstructs the crime scene: the context the deadline panic the hacky patch the temporary solution that became permanent the Jira ticket titled “quick fix don’t judge” This would save lives. 🔥 4. AI that tells you which meetings are safe to ignore Let’s be real: Some meetings matter. Some meetings shouldn’t exist. Some meetings actively reduce lifespan. I want AI that whispers: “Skip this one. It’s just three people arguing about naming conventions.” 🔥 5. AI for the glue work devs secretly hate The real energy traps: clarifying requirements translating vague messages remembering decisions tracking discussions chasing answers updating docs keeping everyone aligned context-switching 47 times a day This is the work no AI tool touches… AI for glue work will be bigger than AI for code. 💬 Your turn I want to know from actual devs: What’s ONE AI tool you wish existed — not for coding, but for your sanity? The funnier and more petty your answer, the better. I’m ready 😂👇  ( 7 min )

Optimization is at the heart of every decision-making process. Whether it is a business allocating limited resources, a logistics company optimizing route planning, or a financial institution balancing risk and return, optimization helps identify the most efficient solution among several alternatives. In R, optimization techniques are widely used due to the language’s rich mathematical and statistical capabilities, as well as its extensive package ecosystem. This article explores the origins of optimization, its real-world applications, and detailed case studies, followed by step-by-step demonstrations of how to execute optimization tasks in R. Origins of Optimization By the early 20th century, optimization gained prominence through operations research, especially during World War II when …  ( 9 min )

What do you do as a product manager when your design team push for a clean, modern interface, while developers argue for the old, familiar UI? tldr; You should always go with the solution of the designers because they are designing for users not programmers. Programmers are not the audience. Developers spend their life inside complex tools, terminals, logs, IDEs — clutter doesn’t bother them because they’re trained to survive it. But users are not developers. Normal people don’t want interfaces that look like a cockpit from the 1990s. Designers are literally trained to solve this problem. A designer’s whole job is: visual hierarchy readability spacing usability clarity human factors A programmer’s job is not design. Their taste is shaped by tools built for power-users. Old, cluttered i…  ( 7 min )

You know the feeling. You spend three hours on a Saturday night with Claude or Cursor. You’re in the flow. You prompt, it generates, you paste. The app works. You show your non-technical friends who think you’re a genius, and you feel like you’ve unlocked a superpower. Life is good. Then, the hangover hits. You notice a bug, or you want to add a "quick" feature. Or worse, you pushed to production, and now users are starting to notice issues. Suddenly, you’re staring at thousands of lines of code you didn’t really write and, let’s be honest, don’t really understand. You beg the AI to "fix it," but since it has no memory of why it made those decisions three days ago, it just adds more spaghetti on top of the sauce. You go around in circles, stuck in an endless AI loop. This is the uncomforta…  ( 9 min )

Modern applications ship fast. But fast releases come with risk. This is where ArgoCD Rollbacks become a true lifesaver — giving you a one-click, zero-downtime, Git-driven rollback mechanism that restores your Kubernetes cluster to a stable version in seconds, NOT hours. In this article, you’ll learn: What ArgoCD Rollback is Why it is essential for DevOps teams Real-world scenarios where it’s used How to implement rollback in a complete project Tools involved Best practices for production The importance of rollback in a GitOps workflow Let’s dive deep. ⭐ 1.What Is ArgoCD Rollback? ArgoCD rollback means restoring Kubernetes resources to a previously working Git commit that was successfully applied earlier. ArgoCD maintains: A full deployment history A visual timeline of all sync events The …  ( 8 min )

Intro Anaconda Code is an Excel add-in that enables users to execute Python or R code directly within Excel. It allows you to create custom Python functions for use in Excel workbooks. In addition, its package management support makes it easy to add or remove packages, significantly extending Excel’s capabilities. With these features, tasks such as querying external APIs for data become possible right inside Excel. In this tutorial, we will guide you through using Anaconda Code to query the IP2Location.io API and display the results in your workbook. The IP2Location.io service provides a fast and accurate IP geolocation API that allows users to determine a visitor’s geographical location and apply geolocation data in various use cases. Before we begin, please ensure that Anaconda Code is…  ( 8 min )

Events are often used to decouple logic and keep a system modular. Events allow for a very modular architecture. Your system emits events at different points in time and this allows you to create a completely independent and pluggable module which hooks into these events without needing to make any changes to the core part of your system. For example, you might create a Notification module which listens to various events in your system and sends e-mail, text messages, push notifications and performs other actions related to notifying your users. All of this without ever needing to change any part of your existing codebase. Your module can have a single responsibility, be completely self-contained and independent. For example, POS systems often have a local law requiring them to implement the payment system as a completely separate module. Without events and hooks this becomes impossible. You look at the code and see that everything depends on everything, the payment system is intermingled with every other part of the system. You throw your arms up in the air and say, no way, this can't be done. Payments are the very core of a POS system. It runs through everything. But that is just a sign of a badly architected system. It doesn't need to be this way. Everything should not depend on everything. That's a brittle system. With an event-driven, modular architecture you simply emit events and let the payment module hook into these events and handle the logic. Think of a radio broadcast (emitting events). The broadcaster simply broadcasts into the air. Anyone who wants to and has a radio (listener) tuned to the frequency hears the message. The broadcaster doesn’t know or care who’s listening.  ( 6 min )

Have you noticed how our world is built on abstractions? Abstractions are everywhere. We have abstractions in code - one library depends on another library which depends on another and so on. But it's not just code. We use abstractions every day. Every time you plug something into a wall outlet - you are using an abstraction, a huge electrical infrastructure with its own abstractions, completely invisible and hidden from you. When you drive your car, you don't operate with gears and wires, instead you turn a key, push a button, turn the steering wheel. You don't care how it works - you don't even want to know how it works. You're using abstractions to get where you need to go. Imagine a world without abstractions. Let's say you wanted to build a house. You'd need tools and materials but if…  ( 7 min )

Debugging a Django application running inside a Docker container can feel like trying to fix a car engine while it's still running—challenging, but definitely not impossible. If you've ever found yourself staring at cryptic error messages with no stack trace, or wondering why your breakpoints never trigger, you're not alone. This guide will equip you with the tools and techniques to effectively debug Dockerized Django applications. Docker containers are designed to be isolated, lightweight, and production-like. While this is great for deployment, it creates some unique challenges for debugging: Limited direct access to the running process Logs can be scattered or hard to follow Interactive debuggers require special configuration File system isolation makes it harder to inspect state Networ…  ( 15 min )

A lot of junior developers misunderstand DRY (Don't Repeat Yourself) as a strict rule against any code duplication. To them DRY means: never repeat a line of code never have two components share similar structure never write anything twice If something looks similar, they feel obligated to merge it, abstract it, or build a “super component” with flags and conditions. Of course, the result is always the same: Overcomplicated, brittle, unreadable code that was technically DRY — and practically unusable.. Imagine if a cookbook tried to follow the the DRY principle to the extreme. Instead of having separate recipes for different types of pizza, it would try to create one giant single pizza recipe that covers every possible variation - one "single universal pizza recipe". “Use tomato sauce unle…  ( 7 min )

When working on a shared GitHub repository, your workflow can either make collaboration smoothor create endless conflicts, broken code, and frustration. Many developers struggle with one common question: “Should I pull changes before starting new work, or should I code first and pull later?” The truth is: The most efficient and professional workflow always begins with pulling the latest changes before you start. This article breaks down the ideal Git workflow used by teams in top engineering organizations. 1. Always Start by Pulling the Latest Changes Before you write a single line of code, ensure your local environment is up to date. Pulling first guarantees: You’re working with the latest version of the project You avoid rewriting features that someone already updated You minimize merg…  ( 8 min )

Most MCP (Model Context Protocol) tutorials show you how to build local servers that connect to Claude Desktop via stdio. That's great for development, but what if you want your MCP server accessible from anywhere? What if you want it running on the edge with sub-50ms latency globally? I built an MCP server on Cloudflare Workers that provides semantic search using Vectorize and Workers AI. Along the way, I discovered the MCP SDK wasn't designed for serverless environments - so I had to adapt it. In this article, I'll show you: Why MCP on Workers is powerful (and tricky) Three different MCP architectures I built How to adapt the stdio-based SDK for HTTP A working semantic search implementation with Vectorize When to use each architecture By the end, you'll have the knowledge to deploy produ…  ( 13 min )

Sega’s Dreamcast was known for pushing boundaries and innovation. Among its most ambitious experiments was Seaman, a virtual pet / life-simulation that combined evolution, real-time care, and voice interaction. Long before ChatGPT and LLM-powered agents existed, Seaman gave us something similar in spirit: a creature that listened, remembered, responded, and evolved based on your interaction. The game used a microphone accessory plugged into the Dreamcast controller to let players speak to Seaman. The underlying voice-recognition engine was limited and supported only a vocabulary of around 100 words or short phrases. Rather than full natural-language parsing, Seaman used a navigation-style conversation model: the game anticipated likely user inputs from a predefined set of options, and ma…  ( 8 min )

Localization in Flutter sounds simple on paper: “Just use ARB files, run the generator, and you’re done.” Right? Right… until your app grows to hundreds of keys, multiple languages, different plural forms, nested folders, and a team of devs all touching the same translations. I’ve been there. Localization is one of the most annoying parts of Flutter development. Even with tools like easy_localization helping us generate code and structure files, there are still several pain points that never went away for me. So I built a tool to fix them — but let me start with the problems first. JSON files are fine when you have: title: “Hello” button_ok: “OK” button_cancel: “Cancel” But with real apps, things turn into this: settings.notifications.push_title settings.notifications.push_body profile.fo…  ( 12 min )

Sometimes, fixing a GPU on Linux feels less like tech work and more like a mystical quest. That was exactly my journey with an NVIDIA GTX 1050 on Ubuntu 24.04 LTS. Xorg kept crashing. Logs screamed about missing modules. The system would randomly freeze, then reboot. Despite having NVIDIA 535 installed earlier, only one monitor worked under the fallback modesetting driver. Nouveau was blacklisted, yet the GPU refused to fully awaken. Purged all nvidia-* drivers, blacklists removed. Verified that nouveau was not loaded. Kernel headers were up to date. Success? ✅ Partial. The system booted with modesetting, but Xorg was still using VESA, single monitor only, GPU idle. Installed NVIDIA 535 via apt, purged, reinstalled, repeat. Every time, nvidia-smi reported the driver version, kernel modules…  ( 7 min )

As developers, we all want clean, consistent code. Tools like pre-commit make this possible by automatically running linters, formatters, and other checks before a commit. However, if you’ve used them in a real project, you’ve probably encountered the dreaded commit-hook loop. I recently faced this issue while working on a Django project. Let me walk you through the problem and how I fixed it. I’m building a Django project with a typical Python stack: Django 5.x Python 3.12 Black for formatting Flake8 for linting isort for import sorting pre-commit for managing all hooks The goal is simple: enforce code quality automatically on every commit. Here’s the workflow I was using: git add . git commit -m "Some message" At this point, pre-commit hooks run automatically. If a hook fails (say Black …  ( 7 min )

Have you ever wondered what the little padlock 🔒 next to a website’s address actually means? Or why some URLs start with https:// instead of http://? Let’s break it down—no jargon, just clarity. The Problem with Plain HTTP HTTP (Hypertext Transfer Protocol) is the original way browsers talk to websites. But here’s the catch: it’s like sending a postcard through the mail. Anyone handling that postcard—your internet provider, a hacker on the same Wi-Fi, or even someone snooping on network traffic—can read everything on it. If you log in or enter your credit card on an http:// site? That data travels as plain text. Yikes. 💡 Think: Would you write your password on a postcard and drop it in a public mailbox? Probably not. Enter HTTPS: Your Digital Envelope HTTPS (HTTP Secure) fixes this by ad…  ( 7 min )

Look, we need to talk about async testing in Python. If you've ever stared at a ModuleNotFoundError: No module named 'trio' when you're just trying to test your FastAPI endpoints, you know the pain. You didn't ask for trio. You don't even know what trio is. You just want your tests to pass. Let's fix this properly. Here's the thing about async Python: your async/await code needs an event loop to run. That's not optional. And there are multiple event loop implementations out there: asyncio - Python's built-in standard library solution trio - Third-party library with structured concurrency curio - Another third-party option (less common these days) When you're testing async code with pytest, you need something to manage these event loops. Enter pytest-anyio - a plugin that's supposed to make…  ( 10 min )

Angular has taken a big leap forward with the introduction of Signals, a simpler and more intuitive reactivity model designed to solve long-standing challenges with change detection, manual subscriptions, and complex RxJS patterns. If you’re looking to write cleaner and more predictable Angular code, Signals are the game-changer you’ve been waiting for. What Are Signals? A signal is a special reactive variable. When its value changes, Angular automatically updates the UI — no subscriptions, no async pipes, no boilerplate. `import { signal } from '@angular/core'; const counter = signal(0); counter(); // returns 0 Think of a signal as a state container that “reacts” when changed. Why Should You Use Signals? No more manual subscriptions No subscribe() or unsubscribe() headaches. Predictable UI updates Only affected parts re-render. Cleaner component logic You read a signal like a function: mySignal(). Perfect for local and shared state Simplifies component state management dramatically. How to Use Signals in Angular Create a Signal count = signal(0); Read It in the Template Count: {{ count() }} ${this.firstName()} ${this.lastName()}); Whenever firstName or lastName changes, fullName updates instantly. Effects — Run Logic When Signals Change effect(() => { Perfect for API calls, logging, or reacting to state changes. Scenario Signals RxJS Signals are not replacing RxJS — they are simplifying many common cases where RxJS felt too complex. Angular Signals bring a modern, lightweight, and highly predictable reactivity model to Angular. Whether you're building small features or large applications, Signals help you write cleaner code with less mental overhead. If you haven’t tried Signals yet, now is the perfect time — your Angular workflow will feel faster, simpler, and more enjoyable.  ( 7 min )

A Deep, Extended, Example-Packed Article Managing memory properly in JavaScript is one of the most critical skills for building fast, stable, and scalable applications. Whether you're developing a complex frontend interface, a long-running SPA, a Node.js backend, or a real-time system, poor memory handling can cause slowdowns, UI freezes, increased RAM usage, or even total crashes. JavaScript has automatic memory management through its garbage collector, but automatic does NOT mean perfect. Incorrect coding patterns will easily prevent the garbage collector from doing its job — resulting in memory leaks and wasted resources. This article is a full deep dive, expanded far beyond the standard explanations, with plenty of examples, patterns, anti-patterns, best practices, and developer tests …  ( 10 min )

Here’s a concrete, simple example of what a Fiber node “looks like” and how it links to others, using a tiny DOM tree. Example JSX function App() { return ( Hello Click ); } Conceptual Fiber nodes React creates one Fiber per element/component. Each Fiber points to: return: parent Fiber child: first child Fiber sibling: next child at the same level stateNode: the real DOM node (for host elements like div/span/button) or instance (for class components) alternate: the other version of this fiber (current vs work-in-progress) for double buffering A rough, simplified shape (not exact internal names), for the initial mount: Root fiber (HostRoot) HostRootFiber = { tag: 'HostRoot', type: null, …  ( 8 min )

The modern platform for booking football pitches. Manage venues, track revenue, and book matches seamlessly. Live Demo: https://footbookr.vercel.app/ https://github.com/saidMounaim/footbookr Real-time Availability: Browse pitches and see live slot availability. Smart Booking: Filter by 5-a-side vs 7-a-side, date, and time. Digital Tickets: QR Code generation for seamless check-in at the venue. User Dashboard: Manage upcoming matches and view booking history. Social Login: One-click sign-in with Google or Email. Analytics Dashboard: Visual revenue charts, occupancy heatmaps, and KPI cards. Venue Management: Add or delete pitches with image uploads. Booking Control: View all reservations, cancel bookings, and manage schedules. User Management: View user stats and manage permissions. Framework: Next.js 16 (App Router, Server Components, Server Actions, Data Access Layer) Language: TypeScript Styling: Tailwind CSS Components: Shadcn UI (Radix UI) Database: PostgreSQL (via Prisma ORM) Authentication: BetterAuth Charts: Recharts / Shadcn Charts Icons: Lucide React Utilities: date-fns (Time), zod (Validation), react-hook-form (Forms)  ( 6 min )

Mujhe apni TCS CodeVita Contest ki performance ko dekhkar bahut khushi ho rahi hai aur haan abhi bhi improvements kiye hi ja sakte hain aur in fact har baar kiye ja sakte hain shayad yahi Science Community ko hamesha evolve karne ki prerna deti hai ki abhi jo paa liya bahut sahi ab aage aur achcha kya kar sakte hain aur phir usse bhi achcha aur is sab ko measure karna apni aur world ki past performance se yaani ki right progress with rights tools and right kind of tracking. To start karte hain is achievement tak aa pane ki kahani se. Pahle main bahut pareshan tha jabse ye taabeez maine pahni hai meri zindagi badal gayi Sorry Sorry Sorry main majaak kar raha tha ye kahani vaisi kahaniyon ki tarah nahin hai bas thoda mahaul ko light karne ke liye anyways pahle main apna motive clear kar doo…  ( 9 min )

Go to Azure Portal - App Registrations https://portal.azure.com/#view/Microsoft_AAD_RegisteredApps/ApplicationsListBlade Click - New registration Fill - Name Choose = Accounts in any organizational directory (Any Microsoft Entra ID tenant - Multitenant) Choose - Web Redirect URI: https://[host]/rest/oauth2-credential/callback Copy – Application (client) ID Click - Add a certificate or secret Click - New client secret Fill - Description Choose - Expires Click - Add Copy Value (Client Secret)  ( 6 min )

GlassiFy: a JavaScript library that creates liquid glass effects using dynamic SVG displacement. Key features: • Dual rendering modes – static frosted glass or animated turbulent surfaces Works natively with React, Vue, Angular, or vanilla JavaScript. The library applies sophisticated glass morphism without WebGL or heavy animation frameworks. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

Last week, I asked Claude to create a memory leak in Swift's Task API, for an amusement purposes. It gave me code and claimed the Task captures self strongly, creating a retain cycle. It suggested using [weak self]. I knew something was off. Tasks don't create retain cycles by default, that's literally their design advantage. I diasgreed with him and he started to explain why I am right. The problem is that other than trusting his words I did not have any other way to prove I am right. It turns out the Swift compiler creates something called SIL (Swift Intermediate Language) - an intermediate representation that shows exactly what the compiler does with your code before turning it into machine code. It's like looking at the compiler's notes. bash %14 = function_ref @(extension in Swi…  ( 7 min )

Pixelize Portfolio Nextjs Template is a modern one-pager template designed for creative professionals, developers, and designers who want to showcase their work online. Built using Nextjs and Tailwind CSS, it offers a fast, SEO-friendly, and fully responsive experience. Whether you’re launching your personal portfolio or promoting your freelance services, this Free Landingpage Template delivers smooth scrolling, clean design, and effortless customization to help you stand out from the crowd. Key Features ⚡ Built with Next.js & Tailwind CSS – Ensures blazing-fast performance and easy customization. 🎨 Clean & Minimal Design – Highlights your content beautifully without distractions. 📱 Fully Responsive Layout – Looks perfect on desktops, tablets, and smartphones. 🧩 One Pager Structure – Ideal for personal portfolios, agencies, or resumes. 🔍 SEO Optimized – Helps your portfolio get discovered easily on search engines. 🌈 Modern Animations – Adds a touch of interactivity and visual appeal. Why Choose Pixelize Portfolio Nextjs Template? 💡 Creative Presentation Perfect for showcasing design projects, case studies, or personal achievements in a visually stunning layout. 🚀 High Performance Powered by Next.js for lightning-fast load times and optimized code delivery. 🧠 Easy Customization Tailwind CSS utility classes make it simple to change colors, fonts, and layout within minutes. 🌐 Free & Developer Friendly As a Free Landingpage Template, it’s ideal for developers who want a ready-to-use, scalable portfolio base. 📄 SEO Ready Structure Built with semantic HTML and optimized metadata for better Google ranking and visibility. Conclusion The Pixelize Portfolio Nextjs Template is the perfect choice for anyone looking to build a professional one-pager website without starting from scratch. Combining performance, simplicity, and a modern interface, this Nextjs Template helps you create a strong online presence with minimal effort. 👉 Live Preview | Download now  ( 7 min )

Watch this on YouTube: DevFest Vienna 2025 Online Navigation Online navigation works quite similarly to offline navigation, only the tools differ greatly. For online navigation, we mainly have zoom, screen magnifiers, and screen readers (or SR for short). Zoom and screen magnifiers are pretty easy to wrap your head around, either because you tested it on purpose or accidentally hit Ctrl while trying to scroll and got a jump scare by gigantic UI elements: They make things big. Checks out. But screen readers are more intimidating at first. You boot them up and suddenly everything starts talking! Most of us are not particularly fond of their device issuing unexpected noises because it’s usually a bad thing. While text-to-speech (or TTS for short) is the intended functionality o…  ( 16 min )

This post is my submission for DEV Education Track: Build Apps with Google AI Studio. The core functionality relies on a single multimodal API call. The key prompt I crafted was designed to leverage both image and text inputs: "Analyze the image’s aesthetic and colors, then generate a detailed 3D doodle-style creature sticker that reflects '[User’s Personality Notes]' and matches the image’s style." I utilized the Studio's multimodal capabilities and the Prompt Engineering interface to rapidly iterate on the visual style and consistency. Here is a quick look at the user experience, from input to output: Input: The user shares a photo and simple text notes. Output: The generated, custom DoodleMate. Working through the Google AI Studio track offered several key takeaways and surprises: 💡 What I Learned Prompt as Code: The process truly felt like "prompt engineering." Tweaking words like "3D sticker," "whimsical," or "charming" acted like visual parameters, allowing me to refine the product's aesthetic without touching any traditional code. 🤯 What Was Surprising If you're looking for a quick, creative project, using Google AI Studio for multimodal tasks is the perfect way to turn pixels into personality!  ( 7 min )

A post by Lerwee  ( 6 min )

This post is my submission for DEV Education Track: Build Apps with Google AI Studio. The core functionality relies on a single multimodal API call. The key prompt I crafted was designed to leverage both image and text inputs: "Analyze the image’s aesthetic and colors, then generate a detailed 3D doodle-style creature sticker that reflects '[User’s Personality Notes]' and matches the image’s style." I utilized the Studio's multimodal capabilities and the Prompt Engineering interface to rapidly iterate on the visual style and consistency. Here is a quick look at the user experience, from input to output: Input: The user shares a photo and simple text notes. Output: The generated, custom DoodleMate. Working through the Google AI Studio track offered several key takeaways and surprises: 💡 What I Learned Prompt as Code: The process truly felt like "prompt engineering." Tweaking words like "3D sticker," "whimsical," or "charming" acted like visual parameters, allowing me to refine the product's aesthetic without touching any traditional code. 🤯 What Was Surprising If you're looking for a quick, creative project, using Google AI Studio for multimodal tasks is the perfect way to turn pixels into personality!  ( 7 min )

✅ Prerequisites Before we begin, make sure you have: 🐍 Python 3.10+ installed 💻 A code editor (VS Code, Cursor, etc.) 🖥️ Basic command line knowledge First, let's create a directory for our project and set up a clean Python environment. Open your terminal and run: # 1. Create the project folder mkdir mcp-unit-converter cd mcp-unit-converter # 2. Create a virtual environment python -m venv venv 3. Activate the environment: On Windows: venv\Scripts\activate On Mac/Linux: source venv/bin/activate 4. Install the MCP SDK: pip install mcp[cli] We will use the FastMCP class to build our server quickly. Create a file named converter.py. This code defines tools for converting: 🌡️ Temperature (Celsius/Fahrenheit) 📏 Length (Meters/Feet) ⚖️ Weight (Kg/Pounds) from mcp.server.fastmcp im…  ( 8 min )

File Upload Security Issues: A Comprehensive Guide Introduction: File upload functionality is a ubiquitous feature in modern web applications. From profile pictures and documents to media files and configuration data, users frequently need to upload files to servers. While providing convenience and expanding functionality, this feature also introduces a significant attack surface. Poorly implemented file upload processes can open the door to various security vulnerabilities, ranging from denial-of-service attacks to remote code execution, compromising the integrity, confidentiality, and availability of web applications and their underlying infrastructure. This article delves into the critical security issues surrounding file uploads, outlining common threats, mitigation strategies, and b…  ( 10 min )

Introduction When installing Tailwind CSS v4 in a React + Vite environment, Cannot find module 'function qt(e={}){...}' Require stack: - postcss.config.js This article summarizes how to fix this error. The Tailwind v3 configuration is being used for Tailwind v4. Doesn't work with Tailwind v4. export default { plugins: { tailwindcss: {}, autoprefixer: {}, }, }; Create (or modify) src/index.css. @tailwind base; @tailwind components; @tailwind utilities; Change postcss.config.js to the v4-specific syntax: import tailwindcss from "@tailwindcss/postcss"; export default { plugins: [ tailwindcss(), ], }; Tailwind styles are back, and the layout is back to normal.  ( 6 min )

I remember when Blazor was the weird kid at the .NET party. "You want to run C# in the browser? That's adorable." Fast forward to 2025, and Blazor in .NET 10 is no longer the underdog—it's a genuine contender. Blazor has always worked. But some patterns required more ceremony than they should. .NET 10 finally streamlines the rough edges. Here's what many developers experienced. You start a Blazor project. You're excited. You write components. They work. Life is good. Then your boss says: "Why does the page flash white during navigation?" And you discover prerendering. And hydration. And the double-render problem. The framework handled all of this—but you had to write the wiring yourself. Serializing state manually, juggling OnInitializedAsync vs OnAfterRenderAsync, building abstractions th…  ( 14 min )

In today’s digital world, businesses are constantly looking for smarter ways to reach the right audience. For a long time, improving visibility online meant working on SEO (Search Engine Optimization). But now, there’s another approach becoming increasingly relevant — GEO (Geographic Engine Optimisation). If you’ve encountered “GEO” somewhere and wondered what it means — and how it differs from SEO — this guide aims to clarify both concepts simply. What Is GEO? GEO is a marketing approach that optimizes a website’s content for specific geographic locations rather than a broad, global audience. Instead of generic content targeting high-volume global keywords, GEO customizes offerings to people in particular cities, states, or regions. In short: SEO helps your website rank for a keyword, glo…  ( 8 min )

HTML forms have been around forever, but honestly, most developers are still writing the same basic forms they learned years ago. Meanwhile, HTML has been quietly adding powerful attributes that can save you from writing tons of JavaScript. I’m talking about validation, user experience improvements, and accessibility features that are just sitting there, ready to use. Your support matters. You can read and support the original version of this story on Medium. 30 HTML Form Attributes You’re Not Using (But Should) Let me walk you through 30 form attributes that you’re probably not using but absolutely should. These aren’t obscure features. They’re well-supported, practical, and they’ll make your forms better today. Note: Browser support listed shows minimum versions. Most attributes work in …  ( 13 min )

The Problem with Productivity Apps When my semester wrapped up, I knew exactly what came next: a focused stretch of interview prep and personal learning. I wanted to set clear goals and track my progress properly, not in a vague “I think I did something today” way but with real structure and accountability. Naturally, I turned to productivity and habit-tracking apps. Too Slow: Switching contexts to a separate app and clicking through menus just to log a task felt cumbersome and killed my flow. Too Distracting: Notifications, overly complex UIs, and features I didn't need turned "checking a box" into a time-sink. I realized what I needed wasn't another habit tracker; it was a system built for speed and duality. I needed to be able to log a quick win in the terminal without leaving my codi…  ( 8 min )

Why I'm Sharing This I'm sharing my journey and knowledge to inspire others - especially tech-loving and open-source-loving people. This is how I learned, how I built, and how I think. Maybe it can help or inspire someone else. About Open Source: Right now, my mindset is that I like to donate my works to open source. I believe in sharing knowledge and code freely with the community. I don't know what the future holds or how my thinking might change, but today, this is what I believe in - contributing to the open-source ecosystem and making my work available for everyone. I'm 17 years old, and I created Qeltrix (V1-V6) - a cryptographic file container system. But here's what makes this journey unique: I didn't write most of the code traditionally. Instead, I designed the entire architectu…  ( 14 min )

Barefoot shoes are a modern type of footwear designed to give the feeling of walking barefoot while still protecting your feet from the ground. Unlike traditional shoes with thick soles and heavy cushioning, barefoot shoes are thin, flexible, and shaped like the natural human foot. They allow your feet to move freely, strengthen muscles, and improve balance—just like nature intended. What Are Barefoot Shoes? Key Features of Barefoot Shoes Zero Drop Sole The sole is flat from heel to toe. There is no raised heel. This encourages natural walking posture and reduces pressure on knees and back. Wide Toe Box The front area of the shoe is wider than normal. This allows the toes to spread out naturally, improving balance and stability. Thin and Flexible Sole The sole is usually 3–10 mm thick. It …  ( 8 min )

When I started learning cybersecurity, I understood the basic idea of hashing and encryption. But later I saw that the real world uses many extra pieces like TLS, RSA, HMAC, PBKDF2, Argon2, cipher suites, trust chain, PKI, and more. These are all connected. In this article I try to explain how hashing, encryption, and encoding work in real cybersecurity systems. ✅ 1. Encoding: Format Change Only Encoding only changes data format. It does not give security. Examples: Base64 URL encoding ASCII UTF-8 Encoding is used for transport or compatibility, not protection. ✅ 2. Hashing: One Way Protection Hashing creates a fixed-size output called a message digest. Important hashing terms Message digest – the result of a hash function Collision – two different inputs produce the same hash Collision re…  ( 9 min )

Performance of web applications is critical for several reasons. The first thing it does is change how users feel. User frustration and eventual product abandonment can result from pages and apps that take too long to load. Search engines also heavily consider how fast a website loads. Particularly, Google has acknowledged that page load times are considered by all of its product ranking algorithms. Conversion rates and income can both benefit from faster page loads. Users have high expectations when they visit your website. They might not be very understanding if the site takes a while to respond. People prefer websites that take less than two seconds to load. If there's any kind of delay beyond this point, the user is likely to leave the site, which will dramatically increase your bounce…  ( 11 min )

Table of Contents 1.Introduction If you’re just getting into fishing, one of the first things you’ll face is choosing the right type of reel. It might sound simple, but ask any angler, and you’ll get a dozen different opinions! The biggest debate? Whether beginners should start with a bait casting reel or stick with a spinning reel combo. This guide breaks down both options in plain, easy-to-follow language so you can decide which reel fits your fishing journey best. By the end, you’ll know which one helps you learn faster, cast smoother, and hook more fish with confidence. A bait casting reel is all about control and precision. It sits on top of the rod, with the spool spinning as you cast. That design lets you drop your lure exactly where you want it, which is a huge deal if you’re ch…  ( 8 min )

This is Day 3 of the Building a SaaS Solo - Design, Implementation, and Operations Advent Calendar 2025. Yesterday's article covered "Tech Selection for AI-Driven Development." Today, I'll explain the overall project structure using Next.js + Supabase + Vercel. For Memoreru, which I'm developing, I adopted the Next.js + Supabase + Vercel stack. This combination is a popular choice for indie development. There are alternatives like Neon for databases or Cloudflare for hosting. I recommend comparing features and plans to find what works best for you. At my previous company, releasing a product involved these steps: Build and publish modules Upload to Azure KUDU Verify on staging environment Manually switch between staging and production With Vercel, all of this is automated by just pushing t…  ( 8 min )

Data engineering is evolving rapidly. Automation, artificial intelligence (AI), and low-code/no-code platforms are reshaping how organizations collect, process, and use data. These trends make operations faster, more efficient, and accessible to a wider audience, enabling better business decisions and competitive advantage. Shape *Automation: Streamlining Data Operations Automation is transforming traditional data engineering. Repetitive tasks like ETL (Extract, Transform, Load), schema validation, and pipeline orchestration are now handled by intelligent systems. Tools such as Apache Airflow, AWS Glue, Google Cloud Dataflow, and Databricks Delta Live Tables simplify workflows, improve reliability, and scale easily. *Real-World Examples: Netflix automates data ingestion and transfor…  ( 8 min )

Uatu is an AI agent that troubleshoots your servers using Claude. It connects symptoms across CPU, memory, network, and disk to find root causes. $ uatu You: why is my server slow? Uatu investigates: checks load average, finds high CPU processes, analyzes memory pressure, looks for I/O bottlenecks. $ journalctl -u myservice | uatu "why did this crash?" Uatu analyzes the logs and correlates with system state. Commands require approval before execution: ⚠ Bash Command Approval Required Risk Level: Standard du -sh /var/log/* | sort -rh | head -10 ○ Allow once → Always allow 'du' ○ Deny Approval prompts with risk categories Allowlist for auto-approving safe commands Audit log tracks all security decisions Read-only mode uses MCP tools only (no bash) Dangerous patterns (credential…  ( 7 min )

Most “free” marketing resources come with invisible strings. UpMails started in 2024 as an internal wiki for our micro-agency VectorForge. Every time we cracked a campaign, we documented the exact steps, screenshots, and KPI deltas. One afternoon a junior strategist asked, “If this works so well, why keep it client-only?” We couldn’t think of a good answer, so we stripped the branding, exported the Notion, and shipped everything to a $5 VPS. Traffic doubled overnight—turns out marketers love assets that don’t ask for anything back. https://upmails.eu No signup. No paywall. No guilt. Go make something bigger—we’ll keep adding fuel to the fire.  ( 7 min )

Large Language Models (LLMs) have become incredibly powerful at generating fluent, human-like text. But they come with a major flaw: In this post, we’ll understand why hallucinations happen and explore practical reasoning-based techniques to reduce them. Hallucination isn't a bug — it's a natural consequence of how LLMs work. LLMs are trained to predict the next token, not to verify facts. If the model has never seen a particular fact or topic clearly in training data, it will guess based on patterns. Rare topics Very new information Domain-specific technical questions If a prompt presupposes a false fact, the model tends to follow the user’s framing. A naïve model will try to answer instead of correcting you. LLMs don’t have a database or knowledge graph by default. How to Reduce Hallucin…  ( 8 min )

The feed never ends. LinkCircle is a small, editorial platform where real website owners publish original, helpful articles—no ghost-written fluff, no SEO Mad Libs, no “we inserted the keyword 47 times so you don’t have to.” Every piece is reviewed by a human editor (hi, that’s me) before it goes live, and every author has to prove they actually own the site they’re talking about. The result is a living library of insights you can trust, written by people who’ve skin in the game. https://linkcircle.eu No algorithms. No growth hacks. Just people sharing what they learned the hard way.  ( 7 min )

Transforming Visitors into Loyal Leads: Mastering Elementor's Form Widget for WordPress In the dynamic world of digital marketing, capturing user attention is one thing; retaining it and converting casual visitors into engaged leads is an entirely different challenge. Many website owners grapple with high bounce rates, seeing potential customers leave their site without any interaction. For businesses built on WordPress, harnessing the right tools is paramount to overcoming this hurdle. This is where Elementor, the leading drag-and-drop page builder, steps in, offering a robust solution that empowers you to forge meaningful connections: its versatile Form Widget. Why Engagement Matters: The Core of Digital Success Imagine a potential client landing on your meticulously designed website. Th…  ( 8 min )

Integrate Voice AI with Salesforce for Lead Qualification TL;DR Most Salesforce voice integrations break when leads hang up mid-qualification—you lose partial data and can't resume. Here's how to build a VAPI voice agent that writes lead scores to Salesforce in real-time, handles interruptions, and triggers workflows based on qualification criteria. Stack: VAPI for voice AI, Twilio for telephony, Salesforce REST API for CRM writes. Outcome: Automated lead qualification that captures every interaction, even incomplete calls, and routes hot leads instantly to sales reps. API Access: VAPI API key (from dashboard.vapi.ai) Salesforce Connected App credentials (Consumer Key + Secret) Twilio Account SID + Auth Token (for phone number provisioning) OAuth 2.0 refresh token for Salesfor…  ( 16 min )

Unlock Engagement: Master the Elementor Form Widget for WordPress Lead Generation In the dynamic world of digital marketing, your website is often the first point of contact with potential customers. But simply attracting visitors isn't enough; the real challenge lies in transforming those fleeting visits into meaningful interactions and, ultimately, loyal customers. For WordPress users, the answer to this critical need often lies in powerful tools that facilitate seamless communication. This is where the Elementor Form Widget shines, providing a robust, intuitive, and highly customizable solution to capture leads, gather feedback, and enhance user engagement directly on your site. Many website owners struggle with bounce rates, where visitors arrive, look around, and leave without taking …  ( 9 min )

AWS and Google have announced a collaborative multi-cloud network solution, marking one of the industry’s most unexpected yet impactful partnerships. The solution aims to solve the growing complexity enterprises face as they deploy workloads across different cloud platforms. It enables consistent performance, shared security policies, and automated connectivity between AWS and Google Cloud environments. This move is trending as organizations increasingly lean toward multi-cloud for flexibility, redundancy, and cost efficiency. Background & Context Key Facts / What Happened multi-cloud network solution provides interoperable routing between AWS and Google Cloud, allowing workloads to communicate without manual configuration overhead. It includes integrated security segmentation, shared traf…  ( 7 min )

React is a great tool for making user interfaces because it is modular, can be used again and again, and renders quickly with the virtual DOM. But there are unique difficulties to be aware of when dealing with React. Complex issues such as scalability, productivity tuning, and state management require a combination of technical knowledge and analytical thinking on the part of developers. Here we'll take a look at the most common challenges encountered by React developers and provide some practical solutions on how to fix them. Managing different kinds of data and state is a common requirement for React applications. Efficiently managing state across components can become more challenging as your application grows. Sharing and syncing state across numerous components can cause confusion and…  ( 13 min )

For the Kiroween Hackathon 2025, our mission was simple: blend the ultra-minimalist, nostalgic aesthetic of the late '90s web with a powerful, real-time network engine. The result is NetSpeak, a fully functional, ugly-chic chat application. It might look like it runs on a 56k modem, but under the hood, it's blazing fast. The Stack: Old Look, New Muscle We kept the frontend deliberately bare-bones (vanilla HTML, CSS, JS) to nail that retro vibe. However, the communication layer is all modern efficiency: Backend: Node.js / Express.js Real-time: Socket.IO Aesthetic: Pure, unadulterated, intentionally bad CSS. The contrast is the core feature: incredibly low-latency performance hidden behind a deliberate commitment to nostalgia. The Secret Weapon: Kiro AI Frankly, we couldn't have finished NetSpeak in time without Kiro, our AI-powered IDE. Kiro's lightweight design and streamlined UI/UX were game-changers. The AI Autopilot feature was particularly invaluable. It took over the scaffolding of our Express server and the complex setup of our real-time Socket.IO connections. By continuously catching and correcting small syntax and logic errors, Kiro allowed us to focus purely on the core concept and design implementation, dramatically accelerating our development cycle. Conclusion NetSpeak is a testament to what's possible when you couple a minimalist vision with maximum-power AI tooling. It was a blast to build, and we're proud of the hauntingly efficient performance we achieved. Developed for the Kiroween Hackathon 2025.  ( 6 min )

Look, we all started 2025 with a beautiful spreadsheet. Color-coded tabs. Projected ROI that would make a CFO weep with joy. Maybe you even had a deck with those gradient charts that look impressive in meetings. And then reality happened. Here's the thing about marketing budgets: they're aspirational documents masquerading as financial planning. By December, that meticulously planned allocation looks about as accurate as a weather forecast from six months ago. The paid social budget got blown in Q2 when CPMs spiked. The content strategy pivoted three times. And that experimental budget for "emerging platforms"? Yeah, nobody can quite remember what that money actually bought. But December is when we get honest. Not because we're suddenly virtuous, but because Q1 2026 budget decisions are ha…  ( 13 min )

Connecting n8n's visual workflow automation with LangBot's multi-platform bot framework creates a powerful, code-free way to deploy AI chatbots across QQ, WeChat, Discord, Telegram, Slack, and more. This tutorial shows you how to integrate these tools in minutes. Python 3.8+ installed Node.js 18+ installed npm or npx available 15 minutes of your time LangBot is a production-ready bot framework that connects to multiple messaging platforms and AI services including Dify, FastGPT, Coze, OpenAI, Claude, and Gemini. Deploy it instantly: cd your-workspace mkdir -p langbot-instance && cd langbot-instance uvx langbot@latest On first launch, LangBot initializes automatically. Open http://127.0.0.1:5300 in your browser. Register your admin account when prompted. You'll land on the dashboard where…  ( 8 min )

🔎 ML Observability & Monitoring — The Missing Layer in ML Systems Part 7 of The Hidden Failure Point of ML Models Series Most ML systems fail silently. Not because models are bad… Not because algorithms are wrong… But because nobody is watching what the model is actually doing in production. Observability is the most important layer of ML engineering — yet also the most neglected. This is the part that determines whether your model will survive, decay, or collapse in the real world. Traditional software monitoring checks: CPU Memory Requests Errors Latency This works for software. But ML models are different. They fail in ways standard monitoring can’t detect. three extra layers: Data monitoring Prediction monitoring Model performance monitoring Without these, failure…  ( 9 min )

Leave a comment below to introduce yourself! You can talk about what brought you here, what you're learning, or just a fun fact about Reply to someone's comment, either with a question or just a hello. 👋 Come back next week to greet our new members so you can one day earn our Warm Welcome Badge!  ( 6 min )

I originally posted this post on my blog. I'm not an AI evangelist, and I'm not a hater either. I've tried AI for coding. And after a week or two, I noticed how dependent I was becoming. Since then, I've used AI for small coding tasks, like generating small functions or finding typos, not to treat English as my main programming language. Marcus Hutchins, a security researches, puts it boldly in his post Every Reason Why I Hate AI and You Should Too: I'd make a strong argument that what you shouldn't be doing is "learning" to do everything with AI. What you should be doing is learning regular skills. Being a domain expert prompting an LLM badly is going to give you infinitely better results than a layperson with a "World’s Best Prompt Engineer" mug. I agree with the core message. When everybody is relying on AI, it's time to go back to old-school habits: Read code Write trustworthy tests Devour classic textbooks Troubleshoot bugs with pen and paper And outside coding: read books on paper, take notes by hand, and write our own summaries. To develop taste and judgment. Using AI is like holding a calculator on a math exam. Even the best calculator is useless if you don't know what to compute. Build skills, then leverage AI. I used to think coding was only about cracking symbols. That's where AI shines. But coding is also about talking to non-tech managers, negotiating deadlines, and saying no politely. And that's why I wrote, Street-Smart Coding: 30 Ways to Get Better at Coding, to share the skills I wish I'd learned to become a confident coder. Get your copy of Street-Smart Coding here. It's the roadmap I wish I had when I was starting out.  ( 7 min )

AI is transforming software engineering faster than ever, but instead of replacing human developers, it’s becoming a powerful partner. Together, humans and AI are shaping a future where development teams are more productive, creative, and impactful. The future of coding isn’t about competition—it’s about collaboration. AI tools are great at handling repetitive tasks like generating code, running tests, and spotting bugs. This frees developers to focus on the parts of the job that machines can’t handle: creative problem-solving, strategic thinking, and designing solutions that really fit business needs. Humans bring something AI can’t replicate—contextual understanding, ethical judgment, and the spark of innovation. While AI can crunch data and suggest improvements, it’s the human developer…  ( 7 min )

Building a Horror Game in 8 Hours with Kiro AI For the Kiroween 2025 hackathon, I built Layers of Static - a psychological horror experience disguised as a vintage 1970s CRT television. The twist? An AI lives inside it, asking disturbing questions and giving creepy dares. The real story isn't what I built. It's how I built it. The hackathon's "Frankenstein" category challenged us to stitch together incompatible technologies into something unexpectedly powerful. My chimera: 1970s CRT aesthetics (scanlines, phosphor glow, chromatic aberration) Modern AI (Google Gemini for conversation) Voice synthesis (ElevenLabs TTS with a little girl's voice) Web Audio API (music box loops, audio ducking, sound effects) Normally, this would take weeks. With Kiro, I shipped in 8 hours. Kiro is an AI-power…  ( 9 min )

title: "A-Modular-Kingdom - The Infrastructure Layer AI Agents Deserve" https://masihmoafi.com/blog/a-modular-kingdom A-Modular-Kingdom The infrastructure layer AI agents deserve Every AI agent I built had the same problem: I kept rebuilding the same infrastructure from scratch. RAG system? Build it again. Long-term memory? Implement it again. Web search, code execution, vision? Wire them up again. After the third project, I stopped. I extracted everything into a single, production-ready foundation that any agent can plug into via the Model Context Protocol (MCP). A-Modular-Kingdom is that foundation. Start the MCP server: python src/agent/host.py Now any AI agent—Claude Desktop, Gemini, custom chatbots—instantly gets: Document retrieval (RAG) with Qdrant + BM25 + CrossEncode…  ( 8 min )

🟦 UNIT – I : Linux Introduction, File System & Basic Commands ⭐ 1. Introduction to Linux Linux is a free, open-source, secure and stable operating system. Based on UNIX, widely used in: Servers Cloud systems Networking Cybersecurity Development Known for: High security Fast performance Virus resistance Multiuser environment 2. Basic Features of Linux Multiuser & multitasking Portable & open-source Strong networking support Highly customizable Powerful shell & scripting 3. Flavors (Distributions) of Linux Common Linux distros: Ubuntu Debian RedHat (RHEL) Fedora CentOS Kali Linux Linux Mint 4. Advantages of Linux Free & open source Highly stable Virus free Powerful command line Supports programming & servers Community support 5. How Linux Accesses Files Linux uses…  ( 9 min )

Executive Summary The rapid integration of Large Language Models (LLMs) into production software has exposed a critical interoperability bottleneck. As developers attempt to bridge the gap between reasoning engines (like Claude 3.5 Sonnet, GPT-4o) and proprietary data sources (PostgreSQL, Slack, GitHub), the industry faces an "N×M" integration problem. Every new model requires unique connectors for every data source, resulting in fragmented, brittle ecosystems. The Model Context Protocol (MCP), introduced by Anthropic in late 2024, emerges as the "USB-C for AI," establishing a standardized, open-source specification that decouples intelligence from data. This report serves as an exhaustive technical resource designed to enable a development team to implement, deploy, and disseminate MCP …  ( 15 min )

Today is about Phishing🦈. Day 2 Room Link. Attackbox and Targetbox. TryHackMe lets us spin up a GUI Attackbox for 1 hour each day; Targetbox dont have a such limit. Or, I can use my own laptop as the Attackbox; Or I can use a linux VM in Virtualbox and use that as my Attackbox For option 2,3 we have to be in the same network as the Targetbox, hence install Openvpn and download+import TryHackMe's networking configuration file(.ovpn). TryHackMe has a practice room for a step-by-step guideline. But for today's tasks it's better to use their Attackbox; a server.py file is made for us to use. In fact the Attackbox usually comes equipped with lots of tools that we may need to solve a room... unless you already have a 5TB fully loaded kali linux VM in your machine to h@ck planet Mars. In task …  ( 7 min )

Introduction The Model Context Protocol (MCP) is transforming how AI applications interact with data sources. While weather servers and basic examples are great starting points, most real-world applications need database access. In this guide, we'll build a production-ready MCP Server for PostgreSQL that allows Claude, VSCode, and any MCP client to query your database safely and efficiently. By the end, you'll have: A fully functional PostgreSQL MCP Server Examples for SELECT queries, aggregations, and data retrieval A public repository you can deploy to production Integration with Claude Desktop and other MCP clients Imagine asking Claude: "What are our top 10 customers by revenue this quarter?" Or: "Show me all incidents from the past 7 days with critical severity." With a PostgreSQL M…  ( 9 min )

Lifecycle rules: improve security Better maintenance of resources control over the resources There are 6 rules to manage the lifecycle ignore_changes prevent_destroy replace_triggered_by create_before_destroy precondition postcondition 1. Create before destroy: This reduces the downtime while making changes (Zero-downtime deployment) example: // main.tf // Create before destroy to avoid downtime resource "aws_instance" "instance" { ami = "ami-0f64121fa59598bf7" instance_type = "t3.micro" region = tolist(var.allowed_region)[0] tags = var.tags lifecycle { create_before_destroy = true } } 2. Prevent destroy: // main.tf // prevent destroy to avoid accidental deletion resource "aws_s3_bucket" "bucket" { bucket = "${var.username}-bucket-${var.environment}-d…  ( 7 min )

The Real Challenge in E-commerce Data Collection When building an AI-powered product selection model, you quickly face a frustrating reality: data services claiming "comprehensive coverage" often capture less than 40% of front-end visible products. This isn't a data quality issue—it's a technical ceiling. Over the years of building e-commerce data collection systems, I've encountered countless challenges and finally developed a solution that consistently achieves 95%+ coverage of front-end visible products. Today, I'm sharing this complete technical approach with you. Before diving into the technical solution, we need to clarify a critical question: What exactly does "coverage rate" mean? Amazon's category database may store millions of ASINs, but these products exist in vastly different…  ( 10 min )

Introduction: Ethereum’s Most Ambitious Step Since the Merge Today marks one of the most significant milestones in Ethereum’s technical history the Fusaka upgrade is now live on mainnet. Activated on December 3, 2025, Fusaka fuses together the Osaka execution layer update and the Fulu consensus layer update, forming what the community collectively calls “Fusaka.” This isn’t just another hard fork — Fusaka represents a full-stack architectural evolution. It redefines Ethereum’s data availability layer, economic structure, and execution performance, laying the foundation for rollup scalability without compromising decentralization. At the heart of this upgrade lies PeerDAS (Peer-to-Peer Data Availability Sampling) — a system that allows nodes to verify data without downloading it all. Alon…  ( 9 min )

A purely monetary view of yacht maintenance and living costs misses a critical factor: the value of your own labor. For the hands-on liveaboard, time and skill are a direct currency that can be exchanged for dramatic cost savings. Calculating this “Owner-Operator Dividend” reveals the real economic picture and highlights the skills with the highest return on investment. To quantify savings, first establish a local market rate for marine labor. In many cruising areas, skilled technician rates range from $80 to $150 per hour. This becomes your “credit rate”—the amount you save for every hour of competent work you perform yourself. Not all tasks offer equal savings. Focus on high-frequency, moderately complex jobs that have a high labor-to-parts cost ratio. Top Tier (Highest Dividend): Preve…  ( 7 min )

Rust is not the first language that comes to mind when people think about data science. Most learners start with Python or R because of their libraries and simpler learning curve. However, Rust is gaining attention due to its speed, reliability, and ability to handle large-scale computations efficiently. Developers who work on performance-heavy systems or want safer, low-level control are exploring Rust as an option. This growing interest naturally raises a question: Can Rust support data science tasks well enough to be considered a practical choice? Rust can be good for data science, but the answer depends on what you need. It is fast, memory-safe, and reliable, which makes it suitable for large datasets and production-grade systems. However, Rust’s data science ecosystem is still develop…  ( 8 min )

🟦 UNIT – I : OS Basics, Types, Services, Structure, System Calls ⭐ 1. Operating System – Definition An Operating System (OS) is system software that manages computer hardware, executes programs, and provides a user-friendly environment for running applications. It acts as an intermediary between user and hardware. 2. Functions of Operating System Process Management Creates, schedules, and terminates processes. Memory Management Allocates memory to programs. Performs deallocation when program ends. File Management Creates, deletes, and organizes files. Device Management Controls hardware devices (printers, disks, keyboard). Security & Protection Prevents unauthorized access. Error Detection Detects and handles system errors. Resource Allocation Manages CPU, memory, disk,…  ( 10 min )

Hey devs and hardware hackers! In the wild world of embedded systems, where processing power meets programmable flexibility, few chips pack the punch of Intel's Arria 10 series. Today, we're cracking open the 10AS016E4F27E3SG—a beast of an SoC FPGA that's redefining what's possible in edge computing, real-time control, and AI-accelerated prototypes. Whether you're building industrial robots, 5G gateways, or custom video pipelines, this little (well, not-so-little) guy is your ticket to high-performance without the bloat. Core Processor: Dual ARM Cortex-A9 MPCore with CoreSight debug—up to 1.5 GHz. Run embedded Linux (hello, Yocto builds!) or bare-metal RTOS for deterministic control. Compared to older Xilinx rivals or even Intel's own Cyclone line, the 10AS016 shines in transceiver densi…  ( 9 min )

Neo Do you always look at it encoded? Cypher Well you have to the image translators work for the construct program but there's way too much information to decode the Matrix. You get used to it. I, I don't even see the code. All I see is blonde, brunette, redhead. At the dawn of Internet commerce, Berners-Lee invented a simple document exchange and reader. Microsoft, then the gatekeeper to computer users with its flawed Windows 3.1 along with slow dial-up birthed CSS/JS, which turned the browser into a massive local executable to handle rendering and state. That historical accident created every front-end dev career. Built for ambiguity, human-centric computing—web GUIs, touch screens, the Matrix of our present reality—will be going away. The future has no need for your front-end f…  ( 9 min )

Almost all top AI apps' paywalls share one pattern: capability you've already felt the need for—right when you hit that need. Top-converting paywalls show up at high-intent moments—during your first session or when you hit a usage limit—and frame the upgrade as unlocking a capability you just tried to use. Contextual gating flow drives 12% median conversion vs. 2% for generic freemium Trigger at Capability ThresholdsGate when users try to access a premium feature or hit limits—not on settings pages. ChatGPT shows the paywall when you switch models; you understand exactly what you're paying for. 2.Lead with ONE Hero Tier ChatGPT has "Plus." Claude has "Pro." A single recommended tier reduces decision fatigue. Use a clear feature grid—avoid vague promises like "Premium Features." Convert Li…  ( 7 min )

For years we’ve circled around the same debate: The argument is familiar. Every re:Invent, my attention usually gravitates toward new features: better serverless capabilities, smarter managed services, or breakthrough technologies that unlock new design patterns. At a high level, it looks like a straightforward agreement: improve private connectivity between the two clouds, reduce complexity, and remove some historical pain points that made multicloud networking feel like a chore. Anyone who has tried to stitch AWS ↔ Google Cloud manually knows exactly what that pain feels like. However, the implications run deeper. This partnership opens the door to a possible future where cloud systems become increasingly agnostic, where architectural decisions are driven by capabilities—not by the limitations of network plumbing between providers. Yet there’s another way to read this move: Whether this collaboration becomes a turning point in cloud interoperability or simply a convenient handshake between two giants remains to be seen. What is certain is that the market has been demanding simpler, more stable, and less painful multicloud experiences—and this announcement suggests that the providers have finally started listening.  ( 7 min )

As cloud estates grow, maintaining the integrity of Infrastructure as Code (IaC) is a critical challenge. AWS CloudFormation provides the blueprint for our infrastructure, but the reality of day-to-day operations—manual hotfixes, temporary changes, and urgent interventions—inevitably leads to configuration drift. Detecting this drift is only half the battle. The real challenge, especially when managing hundreds of stacks, is prioritizing what to fix and cutting through the noise. What if you could move beyond simple alerts and build a closed-loop system that not only detects drift but allows your team to manage, acknowledge, and prioritize it, all from within your primary communication tools? This post details the architecture for just such a solution: an intelligent, interactive drift man…  ( 8 min )

🎯 Bias–Variance Tradeoff — Visually and Practically Explained Part 6 of The Hidden Failure Point of ML Models Series If overfitting and underfitting are the symptoms, the Bias–Variance Tradeoff is the underlying physics driving them. Most explanations of bias and variance are abstract and mathematical. But in real ML engineering, this tradeoff is practical, measurable, and essential for building resilient models that survive production. This article will finally make it intuitive. Bias is how wrong your model is on average because it failed to learn the true pattern. High bias happens when: The model is too simple Features are weak Domain understanding is missing Wrong model assumptions are made Examples: Linear model trying to fit a non-linear pattern Underfitted model Too mu…  ( 9 min )

Engineering the data, architecture, and reasoning behind deep-tier supply chain visibility Most teams can only see Tier-1 suppliers. Some advanced organizations map parts of Tier-2 or Tier-3. But almost no system today can reliably expose the deeper layers—Tier-4 to Tier-10—where the majority of structural supply chain risk actually lives. This article breaks down the engineering principles, system design, and data modeling approach behind building a Tier-10 global supply graph — not as a monolithic platform, but as a foundation for modular, A2A-compatible agents that developers can integrate directly into real systems. A single product may depend on: dozens of Tier-1 suppliers hundreds of Tier-2/3 suppliers thousands of deeper-tier producers, refiners, and upstream transform nodes …  ( 8 min )

Lesson 30: Conclusion and Continuous Learning ⏱ Duration: 1 hour 🎯 Learning Objectives: Review course key points, establish long-term learning and trading system After 30 lessons, you have mastered: ✅ Complete Freqtrade usage workflow ✅ Strategy development and testing methods ✅ Risk management and mindset control ✅ Complete path from backtesting to live trading ✅ Advanced techniques (multi-timeframe, grid, ML) Now, let's review the entire learning journey and look to the future. ┌─────────────────────────────────────────────────────────┐ │ Complete Freqtrade Quantitative Trading System │ └─────────────────────────────────────────────────────────┘ Part 1: Getting Started (Lessons 1-4) ├─ Environment installation and configuration ├─ Basic commands and tools ├─ Core conc…  ( 28 min )

第 30 课：总结与持续学习 ⏱ 课时：1 小时 🎯 学习目标：回顾课程要点，建立长期学习和交易体系 经过 30 课的学习，你已经掌握了： ✅ Freqtrade 的完整使用流程 ✅ 策略开发和测试方法 ✅ 风险管理和心态控制 ✅ 从回测到实盘的完整路径 ✅ 进阶技术（多时间框架、网格、ML） 现在，让我们回顾整个学习旅程，并展望未来。 ┌─────────────────────────────────────────────────────────┐ │ Freqtrade 量化交易完整体系 │ └─────────────────────────────────────────────────────────┘ 第一部分：基础入门（第 1-4 课） ├─ 环境安装和配置 ├─ 基本命令和工具 ├─ 核心概念理解 └─ 数据下载与管理 第二部分：回测实战（第 5-10 课） ├─ 运行第一次回测 ├─ 策略性能分析 ├─ 多时间框架测试 ├─ 策略对比和选择 ├─ 时间范围测试 └─ 交易对选择 第三部分：策略优化（第 11-15 课） ├─ Hyperopt 参数优化 ├─ 策略进阶分析 ├─ 评分系统建立 ├─ 风险管理配置 └─ 组合策略构建 第四部分：实时信号（第 16-20 课） ├─ Dry-run 模拟交易 ├─ Telegram Bot 集成 ├─ Web UI 和 API ├─ 可视化分析工具 └─ 模拟交易验证 第五部分：实盘交易（第 21-25 课） ├─ 交易所 API 配置 ├─ 实盘前检查清单 ├─ 小资金实盘测试 ├─ 交易监控与调整 └─ 风险控制与心态管理 ⭐ 第六部分：进阶专题（第 26-30 课） ├─ 自定义策略开发 ├─ 多时间框架策略 ├─ 高频交…  ( 11 min )

Lesson 29: Machine Learning and Strategy Optimization ⏱ Duration: 2.5 hours 🎯 Learning Objectives: Learn to use machine learning to assist strategy development and parameter optimization Machine Learning (ML) can help us: 🔍 Discover hidden patterns in data 🎯 Optimize strategy parameters 📊 Predict price trends 🤖 Build adaptive strategies Important Reminders: Hyperopt is Freqtrade's built-in parameter optimization tool that uses machine learning algorithms to automatically find optimal parameters. What is Hyperopt? - Automated parameter search - Uses Bayesian optimization algorithms - Searches for optimal parameters within specified ranges - Scores based on backtest results What can be optimized? - Buy condition parameters (RSI thresholds, EMA periods) - Sell condition parameters - R…  ( 15 min )

Modern machine learning workflows rely heavily on pretrained models—downloaded from GitHub, HuggingFace, and countless other model hubs. This convenience comes with a growing risk: model tampering, data poisoning, and hidden backdoors embedded in .pth checkpoints. To address this problem, we built Mithridatium, a lightweight open-source framework designed to verify the integrity of pretrained neural networks before they enter production or research pipelines. Why Mithridatium? Today’s ML ecosystem assumes that pretrained models are safe. In reality, the model file itself can be a silent attack vector: Mithridatium provides a command-line workflow to evaluate these risks through model-centric defenses, inspired by academic research, but simplified for real-world use. Offline Usage Once inst…  ( 7 min )

The quiet shift happening in tech, and why side projects, digital products, and content creation are becoming essential—not optional. ⸻ We Are Entering a Different Era for Developers Over the last year, the tech landscape has changed faster than any of us expected. AI coding assistants are now mainstream, automation is accelerating, and companies are restructuring teams at a pace that would have been unthinkable just a few years ago. For many developers—especially those who have been in the industry for a while—this can feel unsettling. But for others, it’s a wake-up call to shift how we think about our careers. The truth is simple: pure employment is no longer the only pillar of a dev career. Developers who thrive from now on will be the ones who view themselves not just as employees, but as micro-entrepreneurs with skills that can be packaged, monetised, and scaled in multiple ways. A business mindset doesn’t mean starting a huge company or raising money. It simply means seeing your skills as assets and treating your output as something that can generate income outside your day job. Even small, steady streams of income create resilience in a world where tech layoffs can happen overnight. Here are the forces pushing developers in this direction: AI will keep accelerating (and will eventually handle more junior coding tasks) Companies are shrinking engineering teams, not growing them Career transitions now happen every 2–3 years, not 10 Apps, digital products, and online content cost almost nothing to produce One developer can now build and launch full products solo This isn’t a crisis. This is an opportunity — if you start early.  ( 7 min )

Musical Interlude The movie version of Wicked is in theaters right now, so I am reminded of the song For Good -- but I'm gonna link to the Broadway version, because I'm classy like that. It's relevant to programming in Perl because "I don't know if I've been changed for the better, but I have been changed for good." For part two, Lido Shuffle by Boz Scaggs. Task 1: Good Substrings The Task You are given a string. Write a script to return the number of good substrings of length three in the given string. A string is good if there are no repeated characters. Example 1: Input $str = "abcaefg", Output: 5 Good substrings of length 3: abc, bca, cae, aef and efg Example 2: Input: $str = "xyzzabc", Output: 3 Example 3: Input: $str = "aababc", Output: 1 Example 4: Input: $str = …  ( 10 min )

The Context: An Open-Source Educational Tool I currently serve as the Tech Lead for DigitalBoneBox, an open-source educational platform designed to render high-fidelity anatomical resources for anatomy students. Our architectural constraints are unique: we needed a "database" that was completely open, version-controlled, and accessible to non-technical contributors (like anatomy professors) who might want to fix a typo or add a description without touching a database console. The solution? "GitHub-as-a-Database." We store our data (JSON files and images) in a specific data branch of our public repository. The application fetches this content via the GitHub Raw API to render the UI. While this lowered the barrier to entry for contributors, it introduced a critical engineering challenge: T…  ( 8 min )

Introduction: The Moment You Realize “Coding Alone Isn’t Enough” If you’ve ever sat staring at your computer thinking, “I can build great things… why is nobody hiring me?” — you’re not alone. Many developers feel awkward when it comes to promoting themselves. You want to code, not pitch. You want clients who appreciate your work — not to chase people around like a pushy salesperson. The good news? don’t need to be salesy to attract clients. communicate your value in a human, helpful way — the same way you solve problems in your code. This article shows you exactly how. Visual Suggestion: Alt-text: A developer connecting puzzle pieces representing skills and clients. Why Selling Feels Salesy for Developers (And Why It Doesn’t Have To) Most coders grew up learning technical skills — and almo…  ( 10 min )

SwiftUI is fast — but only if you use it correctly. Over time, you’ll run into: choppy scroll performance laggy animations slow lists views refreshing too often unnecessary recomputations async work blocking UI memory spikes from images 120Hz animations dropping frames This guide shows the real-world performance rules I now follow in all my apps. These aren’t theoretical — they fix problems you actually hit when building full SwiftUI apps. Let’s make your UI buttery smooth. 🧈⚡ SwiftUI re-renders the entire View when any @State/@Observed changes. This is bad: VStack { Header() ExpensiveList(items: items) // ← huge view } .onChange(of: searchQuery) { // whole view recomputes } This is better: VStack { Header() ExpensiveList(items: items) // isolated } And…  ( 8 min )

Privoxy is a free, open-source non-caching web proxy that filters HTTP/HTTPS traffic at the application layer to boost privacy, remove ads, manage cookies, and apply custom rules for content control. Privoxy excels in user-configurable filtering without storing pages. Highlights include: Ad and tracker blocking: Targets banners, pop-ups, and web bugs for cleaner, faster browsing. Cookie and header management: Strips tracking cookies, spoofs User-Agent, and hides Referer data. Proxy chaining: Forwards to Tor or SOCKS for anonymity. Access controls: IP-based restrictions and stealth mode for secure setups. Cross-platform: Runs on Linux, Windows, macOS at https://www.privoxy.org. sudo apt update && sudo apt install privoxy -y sudo systemctl start privoxy sudo systemctl enable privoxy Config at /etc/privoxy/config. Download installer from privoxy.org, run as admin. Install service: privoxy.exe --install. Edit C:\Program Files\Privoxy\config.txt. Edit config: Uncomment/set listen-address 127.0.0.1:8118. Enable actions: actionsfile default.action and actionsfile user.action. Add logging: debug 1 and logfile logfile. Reload: sudo systemctl reload privoxy (Linux) or restart service (Windows). Set browser proxy to 127.0.0.1:8118 for HTTP/HTTPS. Test at http://config.privoxy.org/show-status/. { +block{Ads} } .* /ads/ /banner/ /doubleclick.net/ Filters common ad paths. forward-socks5t / 127.0.0.1:9050 . forward-socks5 / 127.0.0.1:9050 . Routes all traffic via Tor. listen-address 0.0.0.0:8118 permit-access 192.168.1.0/24 Serves local network; firewall essential. Perfect for privacy enthusiasts, parents, or low-bandwidth users—unlike Squid (caching-focused) or Nginx (load balancing).  ( 6 min )

Product-market fit used to be a long, painful journey. But 2025 has changed the rules of the game forever. We now live in a world of instant prototypes. design a UI in minutes generate backend logic with AI validate ideas in hours ship MVPs in days pivot in real-time test 50 variations in a week This is the fastest learning environment in startup history. But ironically, this speed has created a new problem: Most founders confuse prototype momentum with market validation. Let’s break down what product-market fit actually means in an era where prototypes are cheap, fast, and everywhere. 1. Instant Prototypes Make It Easy to Build the Wrong Thing Quickly Just because AI lets you build fast, doesn’t mean the thing you built matters. In the old world: Slow building → slower mistakes High cost …  ( 11 min )

Check out this Pen I made!  ( 6 min )

Unlocking Time's Secrets: Temporal Pattern Recognition for System Anomaly Detection Imagine your servers are chirping like crickets, each chirp a system event. How do you tell a normal chorus from a sign of impending doom buried within a symphony of events happening at different times and durations? Standard time-series analysis often overlooks the critical when and how long of state changes. The key is understanding the interplay between event sequence and the time spent in each state. We've been exploring a novel approach we call Selective Temporal Difference (STD). It's designed to pinpoint similarities between sequences of events, not just by the order in which they occur, but also by how long the system resides in each state. STD cleverly sidesteps the pitfall of forced time alignme…  ( 7 min )

So… I built something. A small browser extension that tells you when a website you’re visiting might be using your data to train AI models. Not in a dramatic way. And I’d love your help making it better. I’ve been following AI news for a while, and one thing keeps bothering me: our data is being used to train models, but we’re rarely told how, where, or when. Some platforms are clear about it. Artists. Writers. Photographers. Developers. After a while, I realized: There’s no easy way to check who’s training on your data. WTOM (WhoTrainedOnMe) is a browser extension for Chrome, Chromium-based browsers, and Firefox. When you visit a site, WTOM checks if that platform: Trains AI on user data It’s not perfect, but my goal is to give users clarity — not fear. How WTOM Works (A Lot of Manual Res…  ( 9 min )

🚀 The Essential Patterns Behind Modern AI Agents A Practical Guide for Developers, PMs, Analysts & Business Leaders ✅ Artificial Intelligence agents are quickly becoming the backbone of next-generation software systems. They automate decision-making, coordinate tasks, call APIs, analyze data, and even interact with users like mini-employees who work 24/7. Regardless of the framework you use (LangChain, LangGraph, CrewAI, LlamaIndex, AutoGPT…), the smartest AI agents rely on the same set of architectural patterns. ✅ Understanding these patterns is the difference between: Building a confusing chatbot, or Designing a reliable multi-agent system that solves real business problems. This article breaks them down in a simple, real-world, business-friendly way. 🧩 What Is an AI Agent, Real…  ( 8 min )

Link: https://receipehub.dev Transforming Recipes Into Culinary Masterpieces Effortlessly Built with the tools and technologies: HTML, CSS, Tailwindcss, Shadnui, JavaScript, localstorage, next, react, resend, RestfulAPI (dummyjson) Table of Contents Overview Features Project Index Prerequisites Installation Usage Testing Why RecipeHub? This project simplifies creating engaing culinary communities by providing seamless localstorage integration, consistent UI design, and comprehensive content managment features. The core feature includes: v3 🧑‍💻 Firebase SDK integration: Real time analytics, authentication, database, storage, enhanced web security. 🍽️ Recipe Management: Real time detailed recipe pages, sharing, favorites, and search filters to enhance user engagement. Email service: App…  ( 8 min )

O que é uma API? API significa Application Programming Interface (em português: Interface de Programação de Aplicações). Basicamente: API é um jeito de um sistema conversar com outro, trocando informações de forma organizada e seguindo regras pré-definidas. Ou seja, se um sistema quer pegar dados de outro, mandar informações, criar algo, atualizar algo… a API é quem faz essa ponte. Quando falamos de APIs como REST, elas se comunicam usando HTTP/HTTPS, o mesmo protocolo que tem no navegador. Tudo é feito através de URLs chamadas endpoints. Endpoint = endereço onde o serviço da API está disponível. : pediu → recebe algo de volta. A API responde com: dados, confirmação,ou um erro dizendo o que deu errado. E sempre vem acompanhado de um status code. 200 – OK → Deu bom. Quando você acessa um endpoint, você sempre usa um método. GET – Buscar dados POST – Enviar dados (criação de recurso) PUT – Atualizar um recurso existente PATCH – Atualizar parte de um recurso DELETE – Deletar um recurso Os formato de Dados, hoje em dia, a maioria das APIs usa JSON. { JSON é leve, fácil de ler e funciona bem com praticamente todas as linguagens. São informações adicionais que você envia na requisição. Tipo do conteúdo (JSON) Token de autenticação Idioma Permissões Sem headers, várias APIs nem deixam você acessar. Nem toda API é aberta. Muitas exigem uma maneira de provar que você tem permissão. Os mais usados: API Key Bearer Token JWT OAuth2 APIs mudam com o tempo. Por isso existe versionamento: /api/v1/clientes Exemplo Bem Simples de API com Spring Boot Você pode criar pelo Spring Initializr: https://start.spring.io/ Depois, uma API simples: @RestController Código fonte de uma api simple: https://start.spring.io/ https://www.linkedin.com/in/isaac-bessa-044a14321/  ( 7 min )

Je suis le "What's new" d'AWS de façon quasi quotidienne depuis plus de 7 ans. J'ai trouvé certaines éditions de re:Invent excitantes, d'autres décevantes.. mais j'ai rarement éprouvé le sentiment de submersion face à l'explosion d'annonces du jour. L'annonce la plus importante de la Keynote de Matt Garman ↗️ est sans doute la disponibilité immédiate de 3 agents à durée de vie longue. Jusqu'ici, l'IA agentique s'appuie sur des agents qui doivent à chaque tâche redécouvrir le contexte (comment est structuré le projet, quels profils CLI sont dispo pour qu'ils accèdent aux API, ce qu'ils ont le droit de faire ou non, les choix d'architecture) ; il y a besoin d'interactions fréquentes avec le "pilote" pour les garder "on-track". L'agent Kiro autonome↗️ se propose de résoudre cette limite av…  ( 9 min )

If there is one thing time has taught me working in IT, it is this: getting stuck with what you already know is the fastest path to being left behind. Our field evolves constantly. You do not need to learn something new every month, but you should widen your possibilities. Learning new languages, frameworks, tools or paradigms expands your technical vision and makes you more versatile to solve real problems. It is even better when your company gives you freedom to experiment with new technologies, as long as it does not turn into chaos. Choosing technology is not about what seems cool, but about what makes sense for the context of the project. In your personal projects, explore without fear because that is where real growth happens. If I were to recommend a set of technologies today for so…  ( 8 min )

Created as part of my learning experience in the ParoCyber Ethical Hacking Program. Penetration testing is one of the most exciting areas of cybersecurity, but before any testing begins, you must have clear authorization, documented scope, and well-defined rules to protect both the tester and the client. This article introduces a beginner-friendly walkthrough of what a Penetration Testing Agreement is, why it matters, and how you can use the open-source LDWIT template in your own labs, projects, or ethical hacking studies. A link to the full GitHub version (including the Agreement + SOW template + PDF) is included at the end. Note: I developed this agreement targeting my own areas of interest. This is not a concrete example; service agreements may vary greatly depending on industry and sco…  ( 9 min )

Understanding the checkpoint-based execution that makes long-running workflows possible You write an AWS Lambda function that looks like it runs continuously for hours. But Lambda functions can only run for 15 minutes. How does this work? The answer is replay - a checkpoint-based execution model that makes your function restart from the beginning on every invocation, but skip the work it's already done. It's elegant, efficient, and once you understand it, surprisingly intuitive. Here's the fundamental truth about durable functions: Your handler function re-executes from the beginning on every invocation, but completed operations return cached results from checkpoints instead of re-executing. Let's see this in action with a simple workflow: async function processOrder(event: any, ctx: Durab…  ( 11 min )

Introduction Dependabot automatically detects dependency updates and creates pull requests, but manually merging each one can be tedious. Patch updates (security fixes and bug fixes) typically have limited impact, making them safe candidates for automatic merging. This article explains how to implement a GitHub Actions workflow that automatically merges Dependabot patch updates. The following workflow automatically merges only patch updates (version-update:semver-patch) from Dependabot pull requests: name: Dependabot auto-merge on: pull_request_target: types: - opened - synchronize - reopened - ready_for_review permissions: {} defaults: run: shell: bash jobs: dependabot: runs-on: ubuntu-24.04 if: github.event.pull_request.user.login == 'd…  ( 8 min )

Many low-code platforms are fundamentally built around a CRUD model, typically offering a certain level of customization through built-in extension points (such as before-insert, after-insert, etc.). In the Nop platform, the CRUD model is not special; the built-in CrudBizModel is merely a regular BizModel, and the core of the Nop platform does not apply any special treatment to CRUD extension points. In this article, I will use CrudBizModel as an example to explain common extension approaches for implementing backend services in the Nop platform. Most service functions in CrudBizModel adopt two layers of abstraction. The upper-layer function calls the lower-layer implementation and uses parameters and callback functions to achieve customization. public PageBean findPage(@Optional @N…  ( 14 min )

The Malaysian Communications and Multimedia Commission (MCMC) says child protection remains central to its mandate after identifying 957 cases involving child-related harmful content between 1 January 2024 and 30 November this year. According to the commission, platforms removed 899 of these cases (a 94% compliance rate) with social media platforms including Tumblr, TikTok and Facebook […] The post MCMC: 957 Cases Of Harmful Child-Related Content On Social Media Flagged This Year appeared first on Lowyat.NET.  ( 35 min )

Malaysia is expected to receive the first shipment of trains for the East Coast Rail Link  (ECRL) project by the end of December this year. The trains will comprise two Electric Multiple Units (EMU) for passengers, along with two electric locomotives (E-loco) for freights, and are expected to arrive at Kuantan Port. “The first set […] The post Malaysia To Take Delivery Of First ECRL Trains By End Of December appeared first on Lowyat.NET.  ( 34 min )

In addition to the Nubia Fold, the brand also launched the third generation clamshell foldable, the Flip3. It should come as no surprise that the cover screen here this time around is a lot larger. Large enough to cover the whole top half of the phone, in fact. Specifically, the Nubia Flip3 now features a […] The post Nubia Flip3 Launches In Japan; Features 4-Inch Cover Screen appeared first on Lowyat.NET.  ( 34 min )

Grab Malaysia has unveiled GrabAssist, its new dedicated service for passengers requiring mobility support and accessibility assistance, including Persons with Disabilities (PWDs), senior citizens, as well as individuals using personal mobility aids. This service aims to provide an accessible transport option for an underserved market. GrabAssist involves a collaboration with NGOs such as MFD and […] The post Grab Expands Mobility Access With GrabAssist Service appeared first on Lowyat.NET.  ( 35 min )

Nubia has had multiple clamshell-type foldables now in its Flip series of phones. But it has only recently released its first book-style foldable, dubbed simply the Fold. GSMArena found the phone on a listing by Japanese telco Y!mobile, complete with its spec sheet and price for said market. The Nubia Fold features an 8-inch 2,480 […] The post Nubia Fold Goes Official In Japan Following A Few Flip Entries appeared first on Lowyat.NET.  ( 34 min )

When Valve revealed the Steam Machine and Steam Frame last month, it willingly opened itself up to a slew of questions, with one standing out above the tide: Steam emulation on ARM-based devices, as was quietly demonstrated with the Frame. In an interview with The Verge, Pierre-Loup Griffais, one of the architects behind SteamOS and […] The post Valve’s Next Step: Steam On Mobile, Other ARM Devices appeared first on Lowyat.NET.  ( 36 min )

At this point, much has already been said about the upcoming DJI Osmo Pocket 4. The rumour mill has been churning out detail after detail on the yet-to-be-released vlogging camera, from a dual-sensor setup to the supposed presence of a second screen. Now, a new leak claims that some of the previously revealed information may […] The post No Second Screen For DJI Osmo Pocket 4, Says Leakster appeared first on Lowyat.NET.  ( 34 min )

Perodua launched its first EV, the peculiarly named QV-E, with an equally odd battery leasing plan. With the launch, the national carmaker has released a product disclosure sheet for said car and its accompanying battery leasing plan. And from it, we now know more about what it entails. If you need a refresher, the leasing […] The post Missed Lease Payments Can Lead To Perodua QV-E Being Unable To Start appeared first on Lowyat.NET.  ( 35 min )

Sony has officially introduced the Alpha 7 V, the fifth-generation model in its popular full-frame mirrorless lineup. The new camera is promised to deliver improvements across autofocus, colour accuracy, still image performance, and video capture. The Alpha 7 V features a partially stacked 33MP Exmor RS CMOS sensor and the updated BIONZ XR2 image processor, […] The post Newly Unveiled Sony Alpha 7 V Arriving In Malaysia By Mid-December 2025 appeared first on Lowyat.NET.  ( 37 min )

Malicious actors continue to adopt increasingly advanced tactics, making it more and more difficult to identify scams over the years. Now, Google is looking to address the issue by introducing a scam detection feature to its Circle to Search tool. To use the new capability, the user only has to activate Circle to Search and […] The post Circle To Search Can Now Spot Scam Messages appeared first on Lowyat.NET.  ( 34 min )

JBL is officially bringing its BandBox Solo and Trio speakers to Malaysia. The AI-powered speakers are designed specifically for musicians and their instruments. “JBL BandBox Solo is engineered for individual players who want to both simplify and level-up their practice setup without sacrificing sound quality or creative control. Despite its compact size, Solo is a […] The post JBL BandBox Solo And Trio Arriving This Month; Starts From RM1,499 appeared first on Lowyat.NET.  ( 35 min )

On top of spreading democracy across the galaxy, Helldivers 2 players on PC may also soon liberate a hefty amount of storage space. The game’s latest technical public beta on Steam includes a major optimisation update that drastically reduces its installation size, shrinking its installation by a significant 85%! In a post on the game’s […] The post Helldivers 2 Beta Liberates PC Installation Size By 85% appeared first on Lowyat.NET.  ( 35 min )

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Building a real-world client application is more than just writing code—it's about creating smooth, clean, reliable user experiences that scale in production. In this post, I'm sharing selected UI/UX previews from a recently delivered mobile app project, built completely from scratch with Flutter and Supabase. Clean Design, Flutter Implementation, and a Production-Ready User Experience I recently completed a client project where I designed and developed a production-ready mobile application tailored for job placement and talent management workflows. To respect confidentiality and protect core business logic, I’m sharing only selected UI/UX mockups and visual screens from the project. These previews highlight the design system, visual hierarchy, and real-world usability that guided the deve…  ( 7 min )

The task is to create a function to return the n-th number string in a sequence. n starts from 1. The boilerplate code function getNthNum(n) { // your code here } Start with the first number if(n === 1) return "1"; To get the next number, describe the digits of the previous ones. Count how many times the same digits appear one after the other. When it changes to a new digit, write the count down and the digit being counted. let result = "1"; for (let i = 2; i <= n; i++) { let current = ""; let count = 1; for (let j = 1; j <= result.length; j++) { if (result[j] === result[j - 1]) { count++; } else { current += count.toString() + result[j - 1]; count = 1; } } result = current; } After repeating the process n times, return the final string. return result The final code: function getNthNum(n) { // your code here if(n === 1) return "1"; let result = "1"; for(let i = 2; i <= n; i++) { let current = ""; let count = 1; for(let j = 1; j <= result.length; j++) { if(result[j] === result[j - 1]) { count++ } else { current += count.toString() + result[j - 1]; count = 1; } } result = current; } return result; } That's all folks!  ( 6 min )

🎬 Building a Movie Search App with Python + Streamlit (Using OMDb API) OMDb API is perfect for this — free, fast, and provides detailed movie information. This project includes two versions: Console Version (movie_app.py) Streamlit Web Version (movie_app_streamlit.py) 🧱 1. Project Overview The Movie Search App allows you to: Enter a movie title Fetch detailed movie information View poster, genre, plot, and rating Use either console or Streamlit web interface 📂 Project Structure movie_app/ │ ├── movie_app.py # Console version ├── movie_app_streamlit.py # Streamlit version └── README.md # (optional) 🌐 2. API Used: OMDb API 🖥️ 3. Console Version (movie_app.py) Key Features: Fetch movie data using requests Handles invalid titles gracefully Disp…  ( 7 min )

Most developers spend weeks or months building something, then rush through the launch in a single afternoon. They tweet about it, post on a few forums, and then wonder why nobody shows up. The product is solid, but everything around it is an afterthought. I've done this myself. I've also watched dozens of other developers make the same mistakes. Here's what gets forgotten most often. You launch. Something breaks. A user hits the bug, gets frustrated, and leaves. You have no idea this happened because there's no error tracking, no feedback widget, nothing. You find out three weeks later when someone finally emails you. Set up error monitoring before you launch. Sentry takes maybe 20 minutes to integrate and will save you from silent failures. But error tracking only catches crashes. It doe…  ( 8 min )

The best products I’ve shipped across WordPress, Shopify, Webflow and React had one consistent pattern: clarity always beats complexity. When you strip away unnecessary layers, everything moves faster. Teams iterate with confidence, bugs drop, and the product becomes easier to scale and maintain. Simplicity isn’t about limiting ideas it’s about creating a foundation where good engineering, clean architecture, and meaningful features can actually thrive.  ( 6 min )

The last decade has pushed e-commerce, retail, and manufacturing industries into an era of rapid transformation. Customer expectations have shifted dramatically, global supply chains have become more fragile, and the pressure for speed and accuracy has never been higher. As competition intensifies and operational costs rise, businesses are realizing that traditional fulfillment methods can no longer support the pace of modern demand. This is where the idea of a future-ready fulfillment system emerges — not just as a technical upgrade, but as a new operational philosophy. Being “future-ready” no longer means simply shipping orders faster. It means building a fulfillment structure that can absorb disruptions, scale instantly, operate with data-driven clarity, and remain stable in unpredictab…  ( 8 min )

TL;DR: I built a serverless AutoML platform that trains ML models for ~$10-25/month. Upload CSV, select target column, get a trained model. No ML expertise required. To deploy this project yourself, you'll need: AWS Account with admin access AWS CLI v2 configured (aws configure) Terraform >= 1.5 Docker installed and running Node.js 18+ and pnpm (for frontend) Python 3.11+ (for local development) ⏱️ Deployment time: ~15 minutes from clone to working platform AWS SageMaker Autopilot is powerful but expensive for prototyping. While training has a free tier (50 hours/month for 2 months), the real cost comes from real-time inference endpoints: a single ml.c5.xlarge endpoint costs ~$150/month running 24/7. I needed something simpler and cheaper for side projects. Goals: Upload CSV → Get trained …  ( 9 min )

I spent 12 hours fighting a local AI model to generate valid SQL queries. My success rate went from 40% to 100%, not by prompt engineering, but by teaching the model to learn from its own mistakes. TL;DR: • Self-correction loops beat perfect-first-time approaches for local AI Building a Retail Analytics Copilot that runs entirely on a laptop (using a quantized 24B model) sounds great for privacy, but it's a nightmare for reliability. Unlike GPTs, which follows instructions like a senior engineer, local models are like enthusiastic interns: they try hard, but they hallucinate syntax, forget schema details, and love to chat when they should be coding. My initial baseline was dismal: only 40% of generated SQL queries actually executed. The rest were plagued by syntax errors, hallucinated co…  ( 9 min )

🔍 Why Even Build Locally? 1️⃣ Expo Cloud Builds cost money Expo gives a small free quota. After that, you pay per build — which is fine for production, but not for rapid iteration or testing. Local builds = unlimited free builds. Android Studio is huge and unnecessary A full Android Studio install includes: IDE Emulators GUI tools Extras you don’t need for CI-style builds You only need the command-line SDK, build-tools, platform-tools, and NDK. My setup installs only what is required, trimming the install from 30 GB → ~3 GB. Full Setup Guide (WSL2 Ubuntu 24.04) ✔ Works for Expo, React Native CLI, EAS Build 1) Base Dependencies sudo apt update sudo apt install -y build-essential git unzip zip curl wget ca-certificates openjdk-17-jdk 2) Node 20.19.4 (matches Expo CI)…  ( 8 min )

Introduction In this tutorial, I'll walk you through how I built a semantic search engine using CocoIndex, an open-source Python library for creating powerful search experiences. If you've ever wanted to build a search feature that understands context and meaning (not just exact keyword matches), this post is for you! CocoIndex is a lightweight semantic search library that makes it easy to index and search through documents using vector embeddings. Unlike traditional keyword-based search, semantic search understands the meaning behind queries, allowing users to find relevant results even when they use different words. I needed a search solution that was: Easy to integrate - No complex setup or infrastructure required Fast - Quick indexing and search performance Semantic - Understanding c…  ( 8 min )

brkrs — a fun, playable brick-breaker game & learning playground brkrs is a real, playable Breakout/Arkanoid-style game written in Rust 🦀 using the Bevy engine. hands-on learning project, letting you explore: Spec-first development with GitHub speckit Incremental feature development through issues & PRs AI-assisted and agentic coding experiments Every feature starts as a spec, flows through an issue or PR, and ends as working Rust code. You can play the game, explore the code, and learn modern Rust/Bevy workflows all at the same time. Linus Torvalds said: “Talk is cheap. Show me the code.” brkrs lets you play, tinker, and see the specs come alive in a real game. I always wanted to rewrite my old Arkanoid/Breakout-style game, YaAC 🐧, in a modern game framework. I began by manually impl…  ( 7 min )

The modern platform for booking football pitches. Manage venues, track revenue, and book matches seamlessly. Live Demo: https://footbookr.vercel.app/ https://github.com/saidMounaim/footbookr Real-time Availability: Browse pitches and see live slot availability. Smart Booking: Filter by 5-a-side vs 7-a-side, date, and time. Digital Tickets: QR Code generation for seamless check-in at the venue. User Dashboard: Manage upcoming matches and view booking history. Social Login: One-click sign-in with Google or Email. Analytics Dashboard: Visual revenue charts, occupancy heatmaps, and KPI cards. Venue Management: Add or delete pitches with image uploads. Booking Control: View all reservations, cancel bookings, and manage schedules. User Management: View user stats and manage permissions. Framework: Next.js 16 (App Router, Server Components, Server Actions, Data Access Layer) Language: TypeScript Styling: Tailwind CSS Components: Shadcn UI (Radix UI) Database: PostgreSQL (via Prisma ORM) Authentication: BetterAuth Charts: Recharts / Shadcn Charts Icons: Lucide React Utilities: date-fns (Time), zod (Validation), react-hook-form (Forms)  ( 6 min )

Day 1 at AWS re:Invent 2025 kicked off with Matt Garman’s first keynote as CEO of AWS — and the message was unmistakable: This is the AI era, and AWS is building the full stack for it. Matt structured the entire keynote around four core areas: AI Infrastructure Inference Platform Your Data Tools to Build Agents And what I loved most: after each major section, AWS brought customers on stage to share real implementations — not just theory. Sony, Adobe, and Writer all walked through how they’re building on top of these new capabilities, grounding the announcements in reality. Here’s my full breakdown. 1. AI Infrastructure: The Foundation for What Comes Next Matt opened with a thoughtful shoutout to AWS Heroes, Community Builders, and User Group Leaders, calling them the builders shaping the…  ( 8 min )

-- Declare variables for schema UIDs (run once) DECLARE @uid1 int, @uid2 int SELECT @uid1 = uid FROM sysusers WHERE name = 'GLOBAL_COMET_US_1' SELECT @uid2 = uid FROM sysusers WHERE name = 'GLOBAL_COMET_US_2' -- Query: Tables only in US_1 SELECT 'ONLY_IN_US_1' AS location, t1.name AS table_name FROM sysobjects t1 LEFT JOIN sysobjects t2 ON t1.name = t2.name AND t2.uid = @uid2 AND t2.type = 'U' WHERE t1.uid = @uid1 AND t1.type = 'U' AND t2.id IS NULL UNION ALL -- Query: Tables only in US_2 SELECT 'ONLY_IN_US_2' AS location, t2.name AS table_name FROM sysobjects t2 LEFT JOIN sysobjects t1 ON t2.name = t1.name AND t1.uid = @uid1 AND t1.type = 'U' WHERE t2.uid = @uid2 AND t2.type = 'U' AND t1.id IS NULL ORDER BY 1, 2;  ( 6 min )

The Problem: I love Python for data analysis, but I hate writing matplotlib boilerplate just to see a simple trend. I also didn't want the overhead of a full React frontend for a simple dashboard. The Solution: I built Morph-AI-Era, a monolithic app using: FastAPI (Backend): Handles CSV parsing (Pandas) and AI Forecasting (Scikit-learn). Vanilla JS + Plotly (Frontend): Fetches JSON and renders charts instantly. Supabase: For Auth and Credits. How it works: User drags CSV. FastAPI cleans NaN values and detects date columns. Frontend renders interactive Scatter/Line charts via Plotly. Bonus: I added a "Viral PDF" generator using html2canvas. The Result: A dashboard that feels like a SPA but runs on a simple Python backend. It handles 100k+ rows in the browser without lag. Try it out: I’m looking for feedback on the forecasting logic. You can test it here (10 Free Credits for new accounts): https://www.morph-ai-era.online Let me know if you want to see the source code for the "Forecast" endpoint! python #fastapi #webdev #showdev  ( 6 min )

-- First get the user IDs once (optional, for readability) DECLARE @uid1 int, @uid2 int SELECT @uid1 = uid FROM sysusers WHERE name = 'GLOBAL_COMET_US_1' SELECT @uid2 = uid FROM sysusers WHERE name = 'GLOBAL_COMET_US_2' SELECT 'ONLY_IN_US_1' AS location, t1.tabname FROM sysobjects t1 LEFT JOIN sysobjects t2 ON t1.tabname = t2.tabname AND t2.uid = @uid2 AND t2.type = 'U' WHERE t1.uid = @uid1 AND t1.type = 'U' AND t2.id IS NULL UNION ALL SELECT 'ONLY_IN_US_2' AS location, t2.tabname FROM sysobjects t2 LEFT JOIN sysobjects t1 ON t2.tabname = t1.tabname AND t1.uid = @uid1 AND t1.type = 'U' WHERE t2.uid = @uid2 AND t2.type = 'U' AND t1.id IS NULL ORDER BY 1, 2  ( 6 min )

SELECT 'ONLY_IN_US_1' AS location, t1.table_name FROM dba_tables t1 LEFT JOIN dba_tables t2 ON t1.table_name = t2.table_name AND t2.owner = 'GLOBAL_COMET_US_2' WHERE t1.owner = 'GLOBAL_COMET_US_1' AND t2.table_name IS NULL UNION ALL SELECT 'ONLY_IN_US_2' AS location, t2.table_name FROM dba_tables t2 LEFT JOIN dba_tables t1 ON t2.table_name = t1.table_name AND t1.owner = 'GLOBAL_COMET_US_1' WHERE t2.owner = 'GLOBAL_COMET_US_2' AND t1.table_name IS NULL ORDER BY location, table_name;  ( 6 min )

Introduction Atomic Design is not just a design philosophy—it’s a way of thinking about components as living organisms that grow from simple building blocks into complex, interactive systems. The Five Levels of Atomic Design Atoms: The smallest building blocks—buttons, inputs, labels, colors, and typography. Molecules: Combinations of atoms that form functional units, like a search bar (input + button). Organisms: Larger sections of the interface, such as a navigation bar or product card grid. Templates: Page-level wireframes that define layout and structure without specific content. Pages: Realized templates filled with actual data and content, representing the final user-facing product. This hierarchy mirrors nature: atoms form molecules, molecules form organisms, and organisms create living systems. Why Atomic Design Matters in Frontend Scalability: Large projects remain manageable by breaking them into reusable parts. Consistency: UI elements behave uniformly across the application. Collaboration: Designers and developers share a common vocabulary. Efficiency: Reusable atoms and molecules accelerate development. Maintainability: Changes ripple predictably through the hierarchy. Example: React Project with Atomic Design Structure Atoms: Button, Input, Typography Molecules: SearchBar, ProductCard Organisms: Header, Footer, ProductGrid Templates: HomeTemplate, ProductTemplate Pages: Actual routes like / and /product/[id] This structure ensures that every piece of UI is reusable, testable, and easy to maintain. For example, if you redesign the Button atom, the change propagates across all molecules and organisms that use it. Conclusion Atomic Design is more than a methodology—it’s a philosophy of growth, reminding us that even the most complex systems begin with the smallest building blocks.  ( 7 min )

SELECT CASE WHEN t1.table_name IS NOT NULL AND t2.table_name IS NULL THEN 'ONLY_IN_US_1' WHEN t2.table_name IS NOT NULL AND t1.table_name IS NULL THEN 'ONLY_IN_US_2' END AS location, COALESCE(t1.table_name, t2.table_name) AS table_name FROM dba_tables t1 FULL OUTER JOIN dba_tables t2 ON t1.table_name = t2.table_name AND t1.owner = 'GLOBAL_COMET_US_1' AND t2.owner = 'GLOBAL_COMET_US_2' WHERE (t1.owner = 'GLOBAL_COMET_US_1' OR t1.owner IS NULL) AND (t2.owner = 'GLOBAL_COMET_US_2' OR t2.owner IS NULL) AND ( (t1.table_name IS NOT NULL AND t2.table_name IS NULL) OR (t2.table_name IS NOT NULL AND t1.table_name IS NULL) ) ORDER BY location, table_name;  ( 6 min )

Segurança em Smart Contracts (2025): A Evolução dos Ataques e a Nova Fronteira da Defesa Adriano P. Araujo ・ Dec 2  ( 6 min )

How Semantic Search Finds Products That Keywords Miss I've been building this product search engine for Barbados called "Yuh Gettin' Tru?" (Bajan for "Are you finding what you need?"), and I wanted to share something that perfectly illustrates why semantic search matters. I was testing the site against a local home store called Dwellings. They sell all sorts of home goods - furniture, kitchenware, decor. I searched for "hardwood cutting board" on their website and got... nothing. Zero results. Now, here's the thing. They absolutely do sell hardwood cutting boards. They have these lovely acacia wood boards with handles. But their product database doesn't call them "hardwood cutting boards" - it calls them "Acacia Cutting Board with Handle". Traditional keyword search sees "hardwood" and …  ( 8 min )

TL;DR: After years of wrestling with recursive CTEs, junction tables, and the existential dread of N+1 queries, I built a graph-native Backend-as-a-Service called FLXBL. To prove it actually works (and isn't just vaporware from a sleep-deprived developer), I built a mock movie discovery platform that finds the shortest path between any two actors. Here's what I learned—and why you might want to ditch your relational database for relationship-heavy applications. Have you ever played the Six Degrees of Kevin Bacon game? The premise is beautifully simple: any actor in Hollywood can be connected to Kevin Bacon through their film appearances in six steps or fewer. Tom Hanks was in Apollo 13 with Kevin Bacon—that's one degree. Meryl Streep was in The River Wild with Kevin Bacon—also one degree.…  ( 15 min )

In the 1990s, developers wrote long functional specifications before coding. By 2010, agile replaced the idea that you should define everything upfront. Today, as AI coding struggle with quality, the old playbook is returning: writing detailed specs in hopes of getting reliable outcomes. On paper, spec-driven development (SDD) feels like the perfect solution: write a detailed spec first, then let the model generate “correct” code from it. But reality hits hard. Just like the pattern we have seen before: when we try to “solve unpredictability” by writing more things down upfront, the development fails, and always for the same reason — Reality changes faster than specs do. What Is Spec-Driven Development? Spec-driven development (SDD) is the practice of writing detailed upfront specifica…  ( 9 min )

Galactic Genesis: Can Neural Nets Unravel the Secrets of Galaxy Formation? Imagine trying to model the Earth's climate, but you only have the computing power to simulate individual raindrops. That's the challenge astrophysicists face when trying to simulate how galaxies form, a problem rife with vast differences in scales. Current models often rely on educated guesses for the behavior of supermassive black holes, the engines driving galactic evolution, leading to inaccuracies and missed nuances. But what if we could train an AI to "fill in the gaps"? Enter neural operators, a cutting-edge machine learning technique designed to learn and approximate complex mathematical functions. Instead of crunching every single interaction, a neural operator learns the underlying physics of a system at…  ( 7 min )

Aren't sure what sets agentic ai apart from large language models? Find out how they differ -see where one follows commands whie the other takes initiative. One handles step by step jobs withou help, whereas the other boosts output by generating text fast. Real examples show one planning actions like a helper; meanwhile the other aids workers by drafting messages or reports instantly Image: An LLM - As a simple chatbot handling users query and below An Advanced Agentic AI system independtly executing different tasks ( posting on social media pages, drafting and responding to email messages). I. Introduction We are seeing a key change in artificial intelligence- now its not just about understanding or creating words, but actually doing tasks on its own. Whats driving this ? its comea down…  ( 12 min )

O mercado de TI passou por transformações profundas nos últimos anos. Uma das mais evidentes é a dificuldade crescente que profissionais em início de carreira têm enfrentado para conseguir sua primeira oportunidade. Isso não acontece de forma isolada; existe um conjunto de fatores que explica por que as empresas estão mais resistentes em contratar e desenvolver novos talentos. A permanência nas empresas mudou Durante muito tempo era comum que pessoas construíssem grande parte da sua trajetória profissional em um único lugar. Hoje, essa realidade mudou completamente. Profissionais permanecem cada vez menos tempo em uma empresa; existe uma tendência dos profissionais buscarem uma nova oportunidade em até três anos; entre os mais jovens esse período costuma não chegar a um ano. Para as empr…  ( 9 min )

Abstract Choosing the right test management tool can make or break your QA process. This comprehensive analysis examines TestRail (the leading commercial solution) and TestLink (the veteran open-source alternative) through empirical testing, focusing on Developer Experience (DX), API Performance, Total Cost of Ownership (TCO), and real-world integration scenarios. Spoiler alert: TestLink's performance deficiencies and integration complexity often negate the benefit of its "free" license for most modern development teams. Introduction The Test Management Landscape API Performance Analysis Developer Experience Comparison Total Cost of Ownership Feature-by-Feature Comparison Real-World CI/CD Integration When to Choose Each Tool Conclusions In the world of software quality assurance, test ma…  ( 12 min )

Over the last few months I kept seeing the same problem. Teams want to move from React to Next.js but the migration is repetitive, messy, and full of hidden patterns. So I built a feature rich converter that automates most of the work: reacttonext.com. The tool handles routing changes, Link conversions, file restructuring, SSR-safe patterns, dynamic imports, and a lot of the tricky edge cases that usually show up late in a migration. I trained it on 1500 publicly available React codebases and used those patterns to build the rule engine behind it. The converter completes around 80–90 percent of the migration automatically. After that it generates a README.md containing all the remaining manual review steps. You can follow them yourself or feed the README to an LLM, since the instructions are already written in a way that an LLM can process correctly. If you want to try it or break it, here you go: https://reacttonext.com I am looking for feedback, edge cases, and real-world projects that can push its limits.  ( 6 min )

Oracle APEX (Rest Integration Code Snippets) Rajesh Vohra ・ Dec 2 #restapi #oracle #cloud #programming  ( 6 min )

(A) Calling a REST API From APEX Using APEX_WEB_SERVICE https://api.example.com/process'; https://objectstorage..oraclecloud.com/n/namespace/b/bucket/o/myfile.pdf'; Automated PDF Extraction & Classification Image Recognition Inside APEX Generate PDFs Automatically LLM-Powered Chat Assistant Inside APEX Smart Ticket Categorization Real-Time Operational Dashboard Executive KPI Dashboards Audit & Security Dashboard  ( 7 min )

The Problem Legacy code is everywhere. Companies have millions of lines of COBOL running critical systems, PHP 5 powering old websites, and Flash ActionScript in archived projects. Modernizing this code manually is tedious, error-prone, and expensive. What if AI could do it automatically? AI Necromancer is a web app that "resurrects" dead code using a multi-agent AI system: The Archaeologist analyzes legacy code to detect language, purpose, and issues The entire application - 40+ files, full-stack React and Express, OpenAI integration, batch processing, error handling, and comprehensive documentation - was built in one session with Kiro AI. Here's how: I treated Kiro like a pair programming partner. Instead of writing detailed specs upfront, I'd say things like "add ZIP file extraction" …  ( 7 min )

In the process of migrating data from MySQL (including MySQL-compatible databases such as Amazon Aurora) to VeloDB, Flink can be used as a real-time data synchronization engine to ensure data consistency and real-timeliness. Flink boasts high-throughput and low-latency stream processing capabilities, enabling efficient full data synchronization and incremental change handling for databases. For real-time synchronization scenarios, MySQL Binlog can be enabled to capture CDC (Change Data Capture) events. Whether it is a traditional self-hosted MySQL or Amazon Aurora-MySQL deployed on the cloud, you can enable Binlog and use Flink CDC for subscription to achieve: Full data initial load: Import existing data from MySQL/Aurora to VeloDB first Real-time synchronization of incremental changes: …  ( 8 min )

Unlocking Easter Creativity with xTool: Projects, FAQs, and Weekly Insights for Digital Marketers As the vibrant hues of spring emerge, so too does the spirit of Easter, inspiring countless creative projects. For enthusiasts and entrepreneurs alike, xTool devices have become indispensable tools, transforming intricate ideas into tangible masterpieces. This article delves into the exciting world of Easter crafting with xTool, provides crucial answers to common user questions and technical challenges, and keeps you informed about the essential weekly updates that keep the xTool ecosystem thriving. Whether you're a seasoned crafter aiming for intricate designs or a small business owner looking to expand your product line, leveraging tools like xTool can significantly enhance your creative out…  ( 9 min )

A new state architecture for AI reasoning — topic-aware, model-adaptive, and time-pattern structured Introduction Most developers know the experience: you begin a serious AI conversation, start building a document or a technical concept, and the moment you modify one small part, the entire model rewrites everything. You scroll endlessly, context collapses, structure disappears, and the conversation becomes noise instead of clarity. Modern AI models are powerful, but the default chat interface is structurally wrong for complex work. What is needed is not more tokens, but a way to introduce state, structure, and reasoning flow into the interaction. This article introduces the Ping Engine: a new reasoning architecture built on two components: AFST v0.1: Adaptive Focus State Te…  ( 9 min )

In this series, I'll share my progress with the 2025 version of Advent of Code. Check the first post for a short intro to this series. You can also follow my progress on GitHub. The puzzle of day 2 was not that hard. I feared my simplistic solution for part one would not cut it for part two, but it was actually pretty easy to create a new isInvalidId function for part two, and retrofit that to part one 😅 My pitfall for this puzzle: Had to look a couple of C++ tips & tricks, but nothing major. #include #include #include #include void extractRange(const std::string &range, std::vector &result) { const auto from = std::stol(range.substr(0, range.find('-'))); const auto to = std::stol(range.substr(range.find('-') + 1)); for (…  ( 7 min )

Over the past month, I introduced a new observability layer inside my library forge-sql-orm. measurable and transparent — without breaking Runs on Atlassian compliance and without accessing any customer data. As part of my Codegeist project, I integrated this layer into a real Forge app and connected it to PostHog. Forge SQL is multitenant — the physical database is shared across many customers, and each tenant gets its own logical slice of data. In practice, this creates two major challenges: 1. Tenants can have radically different dataset sizes A resolver that runs in 50–100 ms for one customer may take hundreds of milliseconds, or even seconds, for another. And you have no way to know this ahead of time: you cannot see the tenant’s actual table sizes you cannot log into the underlying…  ( 12 min )

BJH OS is a browser-based operating system developed using pure HTML, CSS, and JavaScript — no frameworks, no backend dependencies ⚙️🚫. It’s designed to give you real desktop OS, but in your web browser 🖥️✨ 🖼️ Custom Desktop Environment Draggable, resizable windows with a familiar desktop layout. Apps now open inside movable, desktop-style windows with titlebars and close buttons. Windows can be maximized or restored by double-clicking the titlebar. 🖱️ Smoother UI & Window Management Enhanced shadows, borders, and polished drag interactions give a modern desktop feel. Double-click the titlebar to maximize/restore windows, and enjoy smoother dragging and window interactions. 📦 Built-in Apps Includes File Manager, Notes, Chat App (ChatLink), Settings, and more. Start menu & toolbar …  ( 8 min )

Hey Developers 👋 for years, Create React App (CRA) was the go-to tool for setting up React projects quickly. However, as of Feb 2025, CRA is officially sunset. The React team no longer recommends using it due to slow build times, outdated configurations, and lack of support for modern features like ES modules and native ESM-compatible dependencies. If you are still using CRA, it’s time to migrate. I have worked with a lot of teams, and in my opinion if you have a SPA application that doesn’t need the latest nuts and bolts like React Server Components, then Vite is the best option. Vite a fast, modern build tool that offers instant hot module replacement (HMR), optimized builds, and better DX (Developer Experience). It aims to provide a faster and leaner development experience for modern w…  ( 9 min )

Disclaimer: This guide is for informational and educational purposes only and is not a substitute for professional medical advice, diagnosis, or treatment. Artificial intelligence (AI) is revolutionizing healthcare, but how do you take a powerful, general-purpose AI model and teach it the specialized skills of a pathologist? This journey from prototype to production often begins in a notebook, which is exactly where we'll start. In this guide, we'll take the crucial first step. We'll walk through the complete process of fine-tuning the Gemma 3 variant MedGemma. MedGemma is Google's family of open models for the medical community, to classify breast cancer histopathology images. We're using the full precision MedGemma model because that's what you'll need in order to get maximum performance…  ( 33 min )

It's 2 AM. PagerDuty fires. Something's wrong with the payment service. You open Log Explorer and stare at the query bar. Is it service:payment or @service:payment? Does negation use NOT or -? What's the facet for authentication failures again? The logs have the answer. The syntax is the bottleneck. If you have been here, this post is for you. I will walk through how to build a tool that translates plain English into valid Log Search queries, and more importantly, I will break down the Datadog-specific gotchas that make this problem interesting. Before building anything, it helps to know exactly where Log Search syntax trips people up. These are the patterns I see most often. @ Prefix Rule This causes more confusion than anything else. The rule is simple, but easy to forget: Reserved att…  ( 9 min )

RE_VAULT: My growing archive of reverse engineering challenges When I first got into reverse engineering, I kept running into the same problem. Either the binaries were so trivial that you could finish them in five minutes, or they were full blown malware samples that assumed you already knew what you were doing. There was not much in the middle that felt like a structured way to get better. So I started building my own targets. This repository is where I am collecting them. GitHub: https://github.com/0x57Origin/RE_VAULT/tree/main Contact for solutions: 0x57Origin@proton.me RE_VAULT is my public archive of reverse engineering projects and challenge binaries. Right now the main thing inside it is a project called: Flag Hunt 2 - Black Cipher Edition It is a C program that behaves like a h…  ( 11 min )

Most frontend projects rely heavily on REST APIs. We fetch data, handle the loading state, and display lists. While this is an essential skill, it ignores a large part of what the browser can do. I recently saw a tweet about using native Browser APIs to build more interesting projects. I wanted to try this myself, but I found it difficult to find good project ideas. Most documentation provides syntax examples but rarely explains what you can actually build with them. I created a site to solve this. It serves as a collection of browser APIs, resources, and specific project ideas for each one. You can view it here For each API, I included the MDN documentation, a couple of resources and a few project ideas. This will be updated as I find more project ideas. Focusing on these APIs requires a different approach than standard data fetching. You have to manage permissions, handle real-time events, and interact with device hardware. Asides from it being fun, it is a practical way to understand the web better. I am using this list to guide my own learning. I plan to update it as I discover more APIs and use cases. If you are looking for a new project to build, you can check out the full list here.  ( 6 min )

Agentic Software Engineering (ASE): The Software Development Landscape is Shifting Again These days, we often hear stories like "Successful CI/CD Automation with a Coding Agent" or "An MVP for a side project completed in just a few days." It’s becoming clear that AI agents are moving beyond being mere assistants and are diving deep into the actual development workflow. Industry buzzwords like AI-driven development, AI-DLC (AI-driven Development Life Cycle), and Agentic Software Engineering (SE 3.0) are already rampant. I want to consolidate this rapidly evolving trend from the perspective of a working developer and call it "Agentic Software Engineering (ASE)." ASE is far more than simple code generation. It signifies a new software development framework where the agent understands and ac…  ( 10 min )

तुलसी - एक औषधीय पौधा परिचय तुलसी भारतीय संस्कृति में एक पवित्र और महत्वपूर्ण औषधीय पौधा है। इसे "जड़ी-बूटियों की रानी" के नाम से भी जाना जाता है। तुलसी का वैज्ञानिक नाम Ocimum sanctum या Ocimum tenuiflorum है। यह पौधा लामियासी (Lamiaceae) परिवार से संबंधित है। भारत में तुलसी को धार्मिक और आयुर्वेदिक दृष्टि से अत्यंत महत्वपूर्ण माना जाता है। प्रत्येक हिंदू घर में तुलसी का पौधा लगाना शुभ माना जाता है। भारत में मुख्य रूप से तीन प्रकार की तुलसी पाई जाती है: राम तुलसी: इसकी पत्तियां हरे रंग की होती हैं और यह सबसे सामान्य प्रकार है। इसकी सुगंध मीठी और हल्की होती है। श्याम तुलसी (कृष्ण तुलसी): इसकी पत्तियां बैंगनी या गहरे हरे रंग की होती हैं। यह औषधीय गुणों में अधिक प्रभावी मानी जाती है। वन तुलसी: यह जंगली किस्म है जो प्राकृतिक रूप से उगती है। इसके पत्ते बड़े और खुरदरे होते हैं। तुल…  ( 9 min )

Crypto payments feel simple for users: scan a QR code, send funds, wait for confirmations. For developers, that flow hides a bunch of responsibilities you normally get “for free” with card processors: invoice tracking, fraud/risk rules, payment status updates, retries, and reconciliation. A crypto payment gateway is the system that fills that gap. A crypto payment gateway is a service (or internal component) that connects an off-chain business event—like an order or invoice—to an on-chain crypto transaction, then tells your backend when it’s safe to deliver the product. Think of it as the crypto equivalent of payment plumbing: not the blockchain itself, but the layer that makes payments usable in real apps. Popular, widely used gateways include Coinbase Commerce, RBTex, BitPay CoinGate, NO…  ( 8 min )

В данной статье мы рассмотрим несколько способов установки собственного VPN, а начнем с самого простого и доступного каждому. Для настройки личного VPN прежде всего необходимо иметь виртуальный сервер, он же VPS или VDS. Переходим на сайт VDSina (или регистрируемся здесь) и заказываем сервер с 1 процессорным ядром и 2Gb памяти. В заказе выбираем операционную систему Ubuntu 24.04 или Debian 12, и отключаем ненужную платную резервную копию: Оформив и оплатив заказ, нам сразу будут выданы данные доступа к серверу – его IP-адрес и пароль пользователя root. Теперь, когда у нас есть собственный сервер, можно переходить к непосредственной настройке VPN одним из трех способов. ㅤ Способ 1. Самый простой, с помощью Amnezia Устанавливаем на компьютер или телефон программу Amnezia VPN, за…  ( 8 min )

When Anthropic announced its acquisition of Bun, it wasn’t just a corporate move — it was a clear message: AI-native software engineering is no longer an experiment. It’s the new standard. Claude Code, Anthropic’s agentic coding system, hit $1B run-rate revenue in only six months. That type of growth has never happened in the developer tools space before. And behind that meteoric acceleration? A surprising catalyst: Bun, the JavaScript runtime created by Jarred Sumner. Today’s acquisition formalizes a relationship that has quietly shaped the fastest-growing AI coding product in history. Why Bun Matters So Much in the AI Era Bun has always been outrageous. Outrageously fast, outrageously integrated, outrageously ambitious. 7M+ monthly downloads 82k+ GitHub stars Adopted by Midjourney, Lov…  ( 8 min )

When building modern web applications, managing relationships between data entities is a common challenge. But what happens when those relationships form a dependency graph, and you need to process items in the correct order? That's exactly the problem I tackled in my latest project: a FastAPI backend that combines traditional CRUD operations with intelligent dependency ordering using topological sorting. Most CRUD APIs are straightforward—create, read, update, and delete resources. But in many real-world scenarios, resources depend on each other. Think about: Build systems where modules depend on other modules Task management where tasks have prerequisites Package managers where libraries depend on other libraries Workflow engines where steps must execute in order The challenge isn't just…  ( 9 min )

Every time I started a new SaaS project, I found myself rebuilding the same infrastructure: Payment integration Invoice generation Multi-language support Analytics Admin dashboard After the third time, I decided to extract this foundation into a reusable starter. Today, I'm open-sourcing it. GitHub: martinschenk/saas-starter-stack Live Demo: allgood.click ## What's Included ### 1. Stripe Payments Complete Stripe Checkout integration with: One-time payments and subscriptions Mobile-optimized checkout (auto-detects device) EU tax handling Webhook processing with signature verification ### 2. Automatic Invoicing Zoho Invoice API integration that: Creates professional PDF invoices on payment Sends them automatically to customers Supports B2B with company name and VAT ID ### 3. Multi-Language Support (5 Languages) English, German, Spanish, French, Portuguese SEO-friendly URLs (/de/, /es/, /fr/, /pt/) Browser language auto-detection ### 4. GDPR-Compliant Analytics (No Cookies!) No cookie consent banners needed IP anonymization (last octet removed) Admin dashboard with charts Auto-deletes after 90 days ## Tech Stack Express.js - Simple, no magic SQLite - Zero config, file-based backup Vanilla JS - No build step, ~50KB frontend ## Getting Started git clone https://github.com/martinschenk/saas-starter-stack.git Visit http://localhost:3000 and you have a working SaaS. ## Links GitHub: martinschenk/saas-starter-stack Live Demo: allgood.click License: MIT If this helps you ship faster, that's a win. Star the repo if you find it useful! Have questions? Drop them in the comments!  ( 6 min )

It was an honor to join Matt Stauffer on the The Business of Laravel podcast to talk about my journey: from building a startup on Laravel, to selling it, and now launching Ghostable — a zero-knowledge environment-management platform for teams that scale. If you want the full conversation, check out the episode. Here’s a written recap of what I shared, how Laravel shaped my path, and why env/secrets management matters more than most devs realize. My co-founder and I go way back — kindergarten friends, turned co-founders. Our first “company” was literally a skateboard deck brand we made in high school: hand-painted boards, a rudimentary website, and a DIY hustle. That early taste of branding, marketing, and web dev stuck. Years later, when he pitched me a security-training idea (now known…  ( 8 min )

Modern PHP applications rely on many external components: APIs, databases, file systems, random generators, time providers, and services that communicate with the outside world. This is where test doubles come into play. A test double is any stand-in object that replaces a real dependency during testing. PHP offers many ways to create these objects — manually, through libraries like Mockery, or through PHPUnit’s built-in mocking tools. In this article, you’ll learn: What mocks, stubs, spies, and fakes really are How they differ and when to use each How to build them in pure PHP How to test code that depends on external services Common mistakes developers make when mocking Simple examples you can run directly in onlinephp.io Let’s begin with the basics. There are different categories of tes…  ( 10 min )

Over the past year, I’ve been slowly moving many of the little repetitive tasks in my engineering workflow over to local LLMs. These are the tiny chores that show up dozens of times a day and quietly wear you down. Automating them away has been a real blessing. If you’re a software engineer who wants to eliminate the tedious parts and move faster, then I hope sharing some of my scripts inspires you to streamline your own workflow as well. The core of my setup is Ollama. It runs several code focused local models. You do need a little power under the hood machine to run some of these higher param models. On my M4 Mac these models have been fantastic: qwen2.5-coder:7b runs extremely fast and is more than enough for most tasks qwen2.5-coder:14b a bit slower, but best overall reasoning and cod…  ( 9 min )

"Oh man, how do these guys who are younger than me beating me at my own game?" I have been feeling this way many times of my decade long career. When I was in my formative years, I always blindly thought those and I took them as truth without thinking. And me being in my own shell made it worse. It was my third year and my manager asked me "Where do you think you rank in this appraisal cycle?". I said without any thinking "I will be within top 3" and the competition is fierce and there are 10-15 people for that appraisal cycle. My Manager smiled and I thought myself that "Who am I kidding? top 3! what a joke. He must me laughing that I am this deluded". I never asked him what he thought afterwards. But ever since he asked me that whatever work I am associated with my Manager, that thought …  ( 10 min )

Developer activity in crypto continues to rise. Although users still search for where to buy Bitcoin or check Dogecoin price charts, developers focus on networks that offer predictable performance, strong tooling, and stable infrastructure. Many consumers begin their crypto experience through platforms like MoonPay, but developers take the next step by building applications that push blockchains to their limits. This roundup covers the top networks developers are using for serious production workloads. 1. Ethereum and Its Rollups The largest developer ecosystem remains productive due to mature tools, libraries, and L2 networks that reduce costs. 2. Solana Solana offers high throughput and fast finality. Developers building consumer apps, DEXs, and real-time systems appreciate its performance profile. 3. Polygon zkEVM Polygon’s zkEVM merges the benefits of Ethereum compatibility with low fees and fast settlement. 4. Near Protocol Near’s account abstraction and easy onboarding help developers attract non-technical users. Its architecture supports scalable consumer apps. 5. Avalanche Avalanche’s subnet architecture allows developers to create custom chains tailored to specific performance or compliance needs. 6. Cosmos SDK Cosmos enables developers to build application-specific blockchains. IBC ensures seamless communication between chains. 7. Aptos Move’s resource-based programming model appeals to developers seeking safer contract execution. Aptos provides high-speed settlement for complex applications. 8. Toncoin (TON) TON’s integration with Telegram gives developers the ability to serve hundreds of millions of users instantly. Mini app development continues to grow. Conclusion Developers in 2025 are shaping the next evolution of blockchain. While consumer interest focuses on trends like buying crypto or tracking Dogecoin price movements, the real progress comes from builders who are choosing networks that support high-performance, scalable applications.  ( 7 min )

Community Health Workers (CHWs) generate a huge amount of visit-level data: every household visit, assessment, and follow-up. On its own, this raw data is hard to use. Our CHW Monthly Activity Aggregation project turns those raw records into a clean monthly summary that's ready for dashboards and performance reviews. At a high level, this project is a dbt (data build tool) project that reads a fact table of CHW activities and produces a single, analytics-ready table: public.chw_activity_monthly, with one row per CHW per reporting month. Today's challenge: Managers often get raw logs (“John visited household 123 at 10:15”) instead of understandable summaries (“John visited 28 households in March, with 6 pregnancy visits”). Our solution: We automatically group all visits into monthly summa…  ( 9 min )

The Initial Use of Resources Imagine you have a one-acre plot of land in your village or hometown. You decide to build your dream house on this land, constructing a home for you and your family. You use the entire one acre of land to live comfortably. You have access to water, a garden, a park, and other resources, and you’re happily living in this space. After some time, you realize that even though you’re enjoying the one-acre property, you’re only using half of the land. The other half remains unused, meaning much of the land and its resources are going to waste. You then start thinking of ways to use the extra land more efficiently. Instead of letting that unused half-acre go to waste, you decide to build another property on it. You keep living in your original home with your family…  ( 9 min )

Submitted for Kiroween Hackathon 2024 - Skeleton Crew Category As a junior apps developer, I'd never built a RAG (Retrieval Augmented Generation) system before. The concept seemed intimidating: vector embeddings, semantic search, chunking strategies—all foreign territory. But the Kiroween hackathon's "Skeleton Crew" category sparked an idea: what if I could build ONE reusable skeleton that transforms into ANY AI personality? Seven days later, I had Project Corpus: a production-ready RAG chatbot that can become a professional legal assistant, a mystical spirit, or anything else—just by swapping a config file. 🔗 Live Demo | GitHub Repo Project Corpus is a document chat application with a twist: the same core logic powers radically different AI personalities. ⚖️ Legal Eagle Professional leg…  ( 10 min )

Terraform gets much easier to use once you understand its meta arguments. These arguments help you decide how many resources to create, how they should be linked, and how Terraform keeps track of them. In this article, we will break down the three most commonly used meta arguments: count, for_each, and depends_on. These are important to know if you're building AWS infrastructure with Terraform, especially when creating multiple resources or managing their order. count allows you to create multiple instances of the same resource using a simple number. It is the most straightforward way to scale resource creation. Example resource "aws_s3_bucket" "bucket_example" { count = 3 bucket = "my-bucket-${count.index}" } How it works count = 3creates three buckets. Each resource gets an index: …  ( 7 min )

TL;DR CinemaSins just dropped a new “Everything Wrong With Superman (2025) In 17 Minutes Or Less” video, where they hilariously roast the latest Man of Steel flick by pointing out every nitpick, plot hole and overused trope in true CinemaSins fashion. For more sinful takes and bonus content, hit up cinemasins.com or their Linktree for all the YouTube channels (TVSins, CommercialSins, CinemaSins Podcast Network), join the Discord/Reddit communities, fill out their poll, or support the team on Patreon. Big ups to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel! Watch on YouTube  ( 6 min )

Self-healing systems are basically computer systems that can fix themselves automatically when something goes wrong. Instead of waiting for a human to notice a problem and manually fix it ("reactive firefighting"), these systems are designed to be proactive. They are constantly watching (Continuous Monitoring) themselves to catch tiny signs of trouble or "degradation" (a slight performance drop or early error). When they find an issue, they automatically take steps to correct it (Automatic Correction). This might mean restarting a faulty component, rolling back a bad update, or isolating a sick part of the system. Why Self-Healing Is Important? Prevents outages before users feel them. Systems detect degradation (latency, memory spikes, failed health checks) and fix themselves before custo…  ( 7 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building **one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet.* In 1979, Singapore’s Prime Minister Lee Kuan Yew spoke about the importance of clear, simple written English in government. Decades later, his message applies perfectly to today’s technology and software world. Our industry builds complex systems distributed services, microservices, machine learning pipelines, cloud infrastructure, scaling architecture. But while the technology has evolved exponentially, the quality of communication often has not. We’ve all seen it: PRDs and RFCs filled with jargon that nobody understands Engineeri…  ( 8 min )

Hey Everyone I used to do coding from 2013-2018 after that explore the new opportunities started my start ups but got failed and I am againg starting programmer Journey. The tech stack which I have choosen is React,Express,Mongo & Node. If there are any suggestions please comment.  ( 6 min )

Model Context Protocol (MCP) has been wobbling on its own legs for a while now, which articulated a frustration many of us in the agentic space have felt but hadn't quantified: LLMs are exceptional code generators, but terrible state machines. The industry standard for agents is the ReAct pattern (Reason + Act), which essentially turns your LLM into a pseudo-runtime. The model decides on a tool, calls for the API, waits for the network response, parses the JSON result, and repeats. But here's the catch: this approach isn't exactly efficient with today's LLMs. You're basically asking a probabilistic engine to handle deterministic control flow, which is like using a neural network to do basic arithmetic. The result? Hallucinations, context window gets polluted fast, and state management bec…  ( 12 min )

Welcome to this week's Top 7, where the DEV editorial team handpicks their favorite posts from the previous week. Congrats to all the authors that made it onto the list 👏 Is the Java ecosystem cursed? A dependency analysis perspective Tony Robalik ・ Nov 24 #java #kotlin #gradle @autonomousapps dives deep into the complexities and frustrations of dependency management within the Java and Kotlin ecosystems. The article highlights specific pain points like inconsistent metadata and "fat" jars that can turn build processes into a nightmare for maintainers. How I Used Claude Code to Speed Up My Shell Startup by 95% Nick Taylor ・ Nov 27 #ai #zsh #bash #productivity @nickytonline details how he used an AI coding assistant to identify and reso…  ( 7 min )

Most of us know that Rust can target almost anything - from microcontrollers to desktop apps, servers, and even browser-based applications. But are these practical use cases, or just proofs of concept that we wouldn't apply in practice? I decided to find out. 👉 Let me share my project with you: an on-desk watch combined with a meteo station. World Time (automatic timezone detection + NTP synchronization) Weather Forecast (two-day forecast for the current location) Current Weather (live data from nearby meteo stations) Fully configurable through an embedded web UI Embedded: Multi-threaded app built with ESP-IDF, running on ESP32-S3 (Xtensa) Frontend: Two Leptos apps compiled to WASM, client-side rendered Backend: Two serverless functions built with Spin SDK, deployed to Fermyon Cloud Simulator: Built with help of ratatui, runs in the terminal on x86 Scripting: Helper tool using rust-script crate retro-clock weather-data-aggregator  ( 6 min )

Introduction In today's business landscape, financial control over cloud usage has turned into a defining factor for sustainable growth. Yet many companies still have to deal with unpredictable cloud bills, limited cost visibility, and slowed financial insights that needlessly complicate budgeting and decision-making. These issues often quietly rise to operational strain, reducing the overall value of the cloud. This is where FinOps SaaS comes into play, providing structure, intelligence, and real-time transparency that enables enterprises to take control over their cloud spend once again. Key Roles of FinOps SaaS That Strengthen Cloud Financial Control Inefficient cloud cost management can lead to overspending and reduced financial clarity. The points given below highlight how busine…  ( 9 min )

Fintech APIs are tricky; payments, KYC, wallets, ledgers, refunds, transaction verification...everything needs to work perfectly. Even the smallest bug can break a customer payment or cause a compliance issue. This is why proper API testing matters more in fintech than anywhere else. In this guide, I’ll show you exactly how to test your fintech APIs on KushoAI. We’ll upload your API, set up environments, handle auth, run tests, and even build complete end-to-end payment flows. Fintech systems rely on tightly connected API chains. A single customer action, such as onboarding or making a payment, triggers multiple backend services that interact in sequence. A standard fintech workflow looks like this: Customer Onboarding: Capture user details. Trigger the KYC process. Receive verification c…  ( 9 min )

Subtitle: OAuth 2.0, JWT, Asymmetric Encryption, Zero-Trust, Hardening Headers, API Gateway, & Load Balancers. Most developers think security ends at: Login → JWT → Authenticated ❌ But enterprise-grade systems demand multi-layer security + zero-trust enforcement. 🛡️ Here is a practical, production-ready guide to hardening your Java architecture. OAuth 2.0 is authorization, not authentication. Your backend must treat every request as hostile. 📌 Core Flow: Client → API Gateway → Authorization Server → Resource Server 🧠 Zero-Trust Rules: ✔ Always verify WHO the user is. ✔ Always verify WHAT they can access. ✔ No implicit trust — even inside your VPC. ✔ Tokens should always be short-lived. 🔑 2. JWT — Use Asymmetric Keys (RS256) HS256 = Risky shared secret ❌ RS256…  ( 8 min )

Welcome back to Day 2 of the 60-Day Spark Mastery Series. Today, we dive into the core of Spark’s execution engine - an essential concept for every Data Engineer who wants to write efficient and scalable ETL pipelines. Let’s break down Spark architecture in a way that is simple, visual, and interview-friendly. 🧠 Why Learn Spark Architecture? If you understand how Spark works internally, you can: Write faster pipelines Debug errors quickly Reduce shuffle Tune cluster performance ⚙️ Spark Architecture (High-Level) Spark has 3 major components: Driver Program : This is the "brain" of your Spark application. The driver: Creates SparkSession Builds logical plan (DAG) Converts transformations into stages/tasks Manages metadata Talks to cluster manager If the driver crashes → the entire applicat…  ( 7 min )

Build a flexible phone input that supports both a country selector and input-only mode. Validate, format, and auto-detect international phone numbers using real-world logic from libphonenumber-js. A perfect intermediate challenge to sharpen your skills in controlled inputs, form validation, and React state management. 💡 Ready to test your React skills? Jump in now! 👉 Try it here: www.reactchallenges.com/challenges/38  ( 6 min )

Today marks the Day 9 of 30 Days of Terraform challenge and in this blog, we will deep dive into the Terraform Life Cycle Rules. Life Cycle in terraform is one of the important meta-arguments that is needed to improve the Infrastructure mangeability and to Operationalize it. Terraform Lifecycle rules are something that controls how a resource is created, modified or deleted. These are used to improve Security, Accidental deletion or modification of resources. There are a total of 5 lifecycle rules defined such as Ignore_changes, craete_before detsroy, prevent_destroy, replace_triggered_by, pre_and_post_validation If we keep this Ignore changes lifecycle rule on any resource, then the Terraform will ignore the changes that were done outside of Terraform and will not perform any changes on …  ( 9 min )

A post by Elvin Seyidov  ( 6 min )

💡 What is Ansible? Ansible is a powerful automation tool used for: ✔ Server configuration It works over SSH, requires no agent, and uses YAML playbooks to automate tasks. In this guide, you will learn: How to install Ansible Step 1: Install Ansible on Ubuntu sudo apt update sudo apt install ansible -y ansible --version Step 2: Create Ansible Project Structure Create project folder: mkdir ansible_demo cd ansible_demo Create inventory & playbooks directories: mkdir inventory playbooks Create inventory file: cd inventory touch hosts.ini Create playbook file: cd ../playbooks touch web_prac.yml Step 3: Add SSH Key to the Project In the project root directory: cd .. mkdir ssh cd ssh touch nagios.pem Paste your PEM key content into nagios.pem. chmod 600 nagios.pem Step 4: Test SSH Connect…  ( 7 min )

A Complete Foundation for Becoming a Strong ML Engineer Machine Learning stands on three fundamental pillars: 1. Mathematics 2. Statistics 3. Programming Without these foundations, ML becomes just black-box code. With them, you understand how models work — and how to optimize them. 1. Linear Algebra — Matrix Manipulation vectors matrices dot products eigenvalues PCA & SVD 2. Calculus — Optimization & Gradients derivatives partial derivatives chain rule gradient descent 3. Probability — Modelling Uncertainty distributions random variables Bayes theorem 4. Statistics — Understanding Data mean, variance hypothesis testing confidence intervals correlation Data Manipulation Skills NumPy vectorization broadcasting matrix ops Pandas cleaning data merging grouping time-series ops Matplotlib histograms 2D/3D plots Seaborn heatmaps pairplots correlations Core Machine Learning Branches 1. Supervised Learning Regression, classification, neural networks. 2. Unsupervised Learning Clustering, dimensionality reduction, anomaly detection. 3. Reinforcement Learning Agents, robotics, decision-making. 1. Project-Based Learning Build small projects: classifiers clustering visualizations NLP pipelines recommender systems 2. Read Latest Hugging Face Research Stay updated with: new models tutorials research summaries benchmarks 🏁 Final Thoughts Machine Learning is built on math, statistics, programming, data skills, and real-world projects. Master the foundations and you become a strong ML engineer.  ( 6 min )

At BearStudio, we start new web projects pretty often. Spin up a React and TypeScript project. By the time everything was in place, we still hadn’t shipped a real feature. It was just repetitive, and it drained energy before the interesting work began. That is what pushed us to create Start UI (web), an open-source full-stack starter. https://github.com/BearStudio/start-ui-web When we explored TanStack Start, it matched the kind of developer experience we were looking for: explicit, modern, type-safe, and not overloaded with abstractions. It provides a clean foundation for routing, data loading and actions, while letting you stay close to the underlying React and server patterns. It gives structure without locking you in. TanStack Start does not try to solve everything, and we like that. …  ( 8 min )

Introduction In today's fast-paced software development landscape, choosing the right testing and CI/CD management tool is crucial for team productivity and code quality. With numerous options available—each with unique features, pricing models, and integration capabilities—developers often face a challenging decision. This comprehensive guide compares the most popular testing management and CI/CD platforms, providing real-world code examples and public repository references to help you make an informed choice. GitHub Actions: Native CI/CD for GitHub repositories GitLab CI: Integrated pipeline automation within GitLab Jenkins: Open-source automation server CircleCI: Cloud-based CI/CD platform Bitbucket Pipelines: Atlassian's automation solution Travis CI: Continuous integration service T…  ( 9 min )

I’m designing audit logging for a microservices platform running on Kubernetes with Go services communicating via REST and gRPC. I’m researching how teams typically implement audit logging across distributed systems. The requirements are simple: Areas I’m exploring: Capture point At the API Gateway? Inside each microservice? A hybrid? Delivery model Synchronous writes? Asynchronous pipelines (Kafka, NATS, SQS, etc.)? Aggregation Central audit logging service Shared database Event log / stream Failure strategies Fail the business operation? Buffer and retry? Performance Avoiding bottlenecks Batching, buffering, and backpressure patterns If you’ve built audit logging across multiple services, I’d appreciate insights on what worked well.  ( 6 min )

Hello everyone, I've been working on Introlix for some months now. Last week I open sourced it, and I'm excited to share it with more communities. It was a really hard time building it as a student and a solo developer. This project is not finished yet but it's on that stage I can show it to others and ask others for help in developing it. Introlix is an AI-powered research platform. Think of it as "GitHub Copilot meets Google Docs" for research work. It is just like google docs but on the right there is an AI panel where users can ask questions to LLM. And also it can edit or write documents for users. So, it is just like github copilot but it is for a text editor. There are two modes: Chat and edit. Chat mode is for asking questions and edit mode is for editing the document using an AI a…  ( 7 min )

Google Antigravity has been making a lot of noise lately. As Google’s own “agent-first” IDE, it’s already being called a Cursor killer in some circles. Unlike traditional AI coding tools, Antigravity isn’t just “ChatGPT inside VS Code.” It’s more like a control tower for AI agents: you describe what you want, and multiple agents can plan, write code, run commands, and even use a browser to test your app end to end. In this post, we’ll: Walk through setup and initial configuration Explain the key “agent-first” concepts Show a real example: from one sentence to a running web app Discuss how to integrate Antigravity into a broader local AI dev stack (Gemini CLI, Node.js 20, local LLMs, etc.) Most AI coding assistants today follow this pattern: You write some code. You pause, send a promp…  ( 10 min )

How to Connect PostgreSQL to Power BI Using Local PostgreSQL and Aiven (Full Guide) Power BI doesn’t ship with a native PostgreSQL connector out of the box — but with the right setup, it becomes a clean, reliable pipeline for analytics. In this guide, I’ll walk you through how to connect Power BI to: You’ll learn all the required configuration steps, drivers, connection settings, and common errors to avoid. This tutorial is built using Windows + DBeaver + PostgreSQL + Power BI Desktop. Prerequisites Before you begin, ensure you have: ✔ PostgreSQL installed locally Windows installer: https://www.postgresql.org/download/ ✔ Power BI Desktop installed Microsoft Store or https://powerbi.microsoft.com/ ✔ Npgsql .NET Data Provider Required for Power BI to talk to PostgreSQL. https:/…  ( 8 min )

Kunci suksesnya adalah jangan minta Gemini membuat satu artikel utuh sekaligus. Gunakan dia secara bertahap. Ini adalah 7 prompt Gemini untuk membuat artikel SEO yang saya pakai sehari-hari, diurutkan berdasarkan alur kerja. Prompt "Si Analis Kompetitor" (Riset) Sebelum menulis satu kata pun, kita harus tahu "medan perang". Minta Gemini memata-matai kompetitor Anda di SERP (Search Engine Results Page). Salin Prompt Ini: "Saya mau menulis artikel dengan keyword utama [Target Keyword Anda]. Tolong analisis 3 artikel teratas di Google untuk keyword ini. Berikan saya rangkuman: Sub-topik utama (H2 dan H3) yang mereka bahas. Angle atau sudut pandang unik apa yang mereka gunakan. Apa 'content gap' (celah konten) yang bisa saya isi agar artikel saya lebih unggul?" Prompt "Si Arsitek Outline" (S…  ( 8 min )

The Pitch Imagine you're typing as fast as you can, trying to complete a horror story. But there's a catch. Every time you blink, a monster teleports closer. And you can't stop blinking. A full typing game with character-by-character validation Daily AI generated stories & typing challenges A Next.js frontend with real-time webcam face detection Calibration system for accurate blink detection A Unity WebGL game for a more immersive experience Two-way communication between React and Unity FMOD audio integration for that horror atmosphere Leaderboard with realtime player high scores Frontend: Next.js 15 with App Router React 19 TypeScript Tailwind CSS v4 shadcn/ui components Zustand for state management React-unity-webgl package Google MediaPipe Backend: Convex backend Authentication Anthr…  ( 8 min )

The recent wave of tech layoffs has sparked fears that AI will eliminate software development jobs entirely. GitHub Copilot, ChatGPT and Claude can write code. Are developers obsolete? Not even close. But the answer isn't what the industry expects. Software development has chased the next big thing for generations, each promising to finally make coding accessible, efficient, or obsolete. The Visual Programming Dream emerged in the 1980s with languages like Prograph and DRAKON. The promise: developers could draw programs instead of writing code, making software development intuitive and visual. But every general-purpose visual language proved too simplistic for real-world applications. Domain-specific tools like LabVIEW and Unreal Blueprints succeeded in narrow niches, but professional soft…  ( 9 min )

The Equalizer Let me tell you about Sarah. She's a junior IT admin at a regional hospital. Great employee. Never a problem. The cybersecurity team doesn't think about her because she's inside the perimeter and she's trusted. Last June, Sarah started using an IT-approved AI coding assistant. Week one: "Help me analyze these logs." Week two: "Show me email server misconfigurations." Week three: "Help me write a script to back up our patient database." Week four: She's copying 400,000 patient records to sell to identity theft gangs at $50 per record. Why? Her son has cancer. She's $80,000 in medical debt. She's telling herself she's just taking what the system owes her. In four weeks, AI transformed Sarah from trusted employee to genuine insider threat. (Story adapted from Kip Boyle's "Infl…  ( 10 min )

Micro-interactions are tiny UI details — hover states, button feedback, subtle animations — but they have an outsized impact on how users feel when they interact with your product. I just published a full guide on why micro-interactions matter and how to design them effectively using modern CSS and JavaScript. What micro-interactions are and why they matter The 4 stages of a great micro-interaction Best practices for UI feedback and states Tips for using CSS animations & transitions When JavaScript adds meaningful value Accessibility rules (often ignored!) Examples of micro-interactions in real products If you want to make your UI feel smoother, more responsive, and more “alive,” this guide breaks it down step by step. 👉 Read the full article: https://www.frontendtools.tech/blog/micro-interactions-ui-ux-guide  ( 6 min )

Today, I’m excited to share one of the most powerful updates we’ve added to DeployEase so far and honestly, this one changes everything about how developers interact with cloud infrastructure. Say hello to the DeployEase AI Assistant UI — your chat-powered deployment partner.🤖 Instead of navigating multiple menus, filling long forms, or remembering API endpoints… chat with an AI agent directly inside DeployEase. Just type what you want: 👉 “Deploy my repository https://github.com/… on a new server” “List my instances” “Scale up my production server” “Show me all deployments for server X” And the AI handles the rest intelligently, safely, and automatically. The magic behind the scenes comes from: MCP (Model Context Protocol) giving the AI full understanding of our backend API structure. Built-in user schema access keys so the AI never needs to ask you for credentials. Smart input validation — the assistant only asks the user for strictly required inputs (like selecting a region or deployment type). If the user is unsure, the AI auto-selects optimal defaults. Everything else triggering APIs, submitting jobs, fetching deployment results — is done seamlessly by the AI agent. In the example screenshot, I simply asked the AI: “Deploy my repository…” The assistant validated the inputs, prepared the deployment configuration, triggered the backend job, and replied: Deployment queued successfully That’s it. Deployment via conversation. This feature transforms DeployEase into: It finally bridges the gap between developers, cloud servers, and AI-powered automation. We’re now working on: Real-time deployment logs inside the chat AI-powered server troubleshooting Chat-based Docker image generation Infrastructure recommendations based on user patterns DeployEase is becoming more than a platform it’s becoming a cloud copilot.  ( 7 min )

One thing I'm super excited about at the end of this year is a newsletter I'm launching: Inclusive Android Apps. It's a monthly newsletter about making Android apps more inclusive, and it covers accessibility, LGBTQ+ inclusion, support for different cultures and languages, privacy and safety for marginalized users, and more. In this post, I'm explaining why I'm starting it and what you can expect. The short answer is that I'm starting the newsletter because I'd love to read it, and there's nothing like it around. The longer answer is that these topics matter to me. Accessibility is a big part of my life, as you might know if you've read my blog posts, seen me speak at events, or followed me on social media. I'm also queer, and many of the issues I'm discussing are from what I've either ex…  ( 8 min )

✅ Explanation in Simple Terms Think of your app like a big office building with 200+ rooms (screens). Redux is the central storage room where shared files are kept. To avoid chaos: Each floor = a large feature (Payments, Orders, Users) Each room = a screen inside the feature Each file cabinet = slice (collection of related state + reducers) The main building manager = root store You NEVER mix files from different floors. Goal of Good Redux Structure Easy to find state related to a feature Easy to debug Easy to scale (add more screens) Shared logic goes into shared slices Feature logic stays inside feature folders ⭐ Recommended Structure for 200+ Screens /src ├── app/ │ ├── store.js │ └── rootReducer.js │ ├── features/ │ ├── users/ │ │ ├── api/ …  ( 10 min )

Medium vs DEV vs Hashnode vs Hackernoon vs CoderLegion — Where Should You Publish & Launch? 🚀 #webdev #opensource #productivity #techwriting #discuss In the past few months, I’ve spoken with many developers, indie founders, and open-source maintainers. Almost everyone eventually asks the same question: “Which platform is the best for posting my articles?” It’s a reasonable question — but it’s not the most important question. The question we should be asking is: Where should I launch my content? Posting and launching are not the same: Posting = publishing content for long-term visibility and SEO Launching = pushing something new with traffic and momentum Start From Your Own Blog 🏠 If you’re building a product, writing regularly, or growing an audience, the most important foundation is you…  ( 8 min )

Overview Student Portal to give learners a seamless digital experience. Through this portal, students will be able to: View grades Access course materials Pay tuition fees Submit assignments To support this rollout, James, the Cloud Engineer, and Sarah, the School’s Solutions Architect, were tasked with building a secure and scalable architecture on AWS — the chosen cloud provider for its reliability and customer-obsessed design. They began by setting up the core networking environment: A VPC to isolate all university resources A public subnet for externally reachable components A private subnet for backend application servers An Internet Gateway (IGW) attached to the VPC A route table to enable internet access for the public subnet An EC2 instance in the private subnet hosting the student…  ( 14 min )

Due diligence is the investigative process of vetting an investment or agreement to verify facts and make informed decisions. Good due diligence reduces risk and protects decision-makers from signing off on costly mistakes. *With new intelligent document processing vendors emerging monthly, technology iterating quarterly, and orgs cycling through solutions like flavors of the month, your ability to analyze a market full of showy IDP software and make a determination on whether it’s a right fit for your enterprise is becoming an insanely valuable skill. * Analysts now track over 450 IDP entrants, a 15% increase year-over-year, marking an essential need for tight decision-making and software selection skills. IDP is no longer a primarily back-office thing with 62% of IDP systems now involv…  ( 9 min )

CodePen runs weekly coding challenges, and this week's theme is Winter, focusing on Ice and Snow. I decided to participate by drawing an iceberg floating in the ocean. I found an iceberg image online that I liked and thought it would be fun to recreate it in CSS. At first, I considered using multiple elements, then switched to a single element, and eventually settled on drawing the entire piece with pure CSS and zero HTML elements. Whenever I share a zero-element drawing on CodePen, I add a small disclaimer: while the HTML panel may look empty, there is still some HTML. Specifically, I rely on the element, along with its ::before and ::after pseudo-elements, to create the artwork. There are also ways to achieve a true zero-HTML setup by applying the styles directly to :root and forcing the browser to render the CSS (this only works with Apache and Firefox, though.) So technically, this drawing could be achieved with pure CSS and absolutely no HTML elements. The drawing itself is fairly straightforward: body: the sky (a linear gradient) and two conic-gradient shadows body::before: the iceberg, shaped with a clip-path and shaded with conic gradients body::after: the water and waves, created using a repeating horizontal radial gradient plus a linear gradient for depth You can find the live demo and the source code on CodePen:  ( 7 min )

Introducing: AWS CDK 100 Drill Exercises What is AWS CDK 100 Drill Exercises? AWS CDK 100 Drill Exercises is a comprehensive, hands-on learning series where I'll create and share 100 practical AWS infrastructure implementations using the AWS Cloud Development Kit (CDK). Each exercise focuses on real-world scenarios, from basic networking setups to advanced multi-region architectures. Goal: Master AWS CDK through deliberate practice while building a valuable reference library for the community. I'm using #100drillexercises as a dedicated tag for this learning series. Follow this tag to track all exercises as they're published! Additional tags to stay updated: #aws #cdk #devtools #100drillexercises The idea came from an article (or book—my memory is a bit fuzzy!) about design pr…  ( 10 min )

Docker images are already compressed when you push them to registries like Docker Hub, GHCR, AWS ECR, etc. So why would anyone compress an image again by using gzip or zstd? Because in the real world, engineers often need to: - move images between servers (air-gapped networks), - migrates registries, - backup image to object, - load or save images repeatedly in Continuous Integration (CI) pipelines. In these cases, docker save produces a raw .tar file often huge. But what’s the best compression tool? So we will test gzip vs zstd. Like I said before, you need to compress your image to: - transfer image between SSH or local network (LAN), - work with offline or air-gapped servers, - backup images to object storage, - migrate to new registry. Skip compression when images are pushed directly …  ( 10 min )

As the internet evolves, misconfigured permissions become a much bigger threat. Why? Because of two words: artificial intelligence—or, AI. Enterprise organizations have always needed tight control over their systems. Permissions are necessary for protecting access to resources, as well as meeting compliance rules and customer obligations. An over-permissioned user would be able to access sensitive information; for example, manager-level permissions that let an employee access their entire team’s salary when they should only be able to check their own. Once teams spot such mistakes, they can correct it and move forward without much disruption. That’s no longer true once AI enters the picture. AI agents do what humans do, from accessing data to sending emails. But unlike humans, they move th…  ( 12 min )

Understanding Why SaaS SEO Feels Different If there’s one thing I’ve learned working with early stage SaaS teams, it’s that SEO hits differently in this space. You’re not just targeting generic terms or chasing backlinks. You’re trying to show up for users who are actively searching for solutions to specific problems, often tied to workflows or niche industry issues. When I first helped a small SaaS team audit their content, we realized their blog was filled with broad topics that never aligned with user intent. That moment taught me how critical it is for SaaS companies to map content to actual product value. The Unique Challenge of SaaS Search Intent Unlike e-commerce or local businesses, SaaS search journeys are multi layered. Users don’t just search “software for invoicing” and then bu…  ( 8 min )

Quantum Machine Learning (QML) blends quantum computing with classical ML to unlock speed-ups in optimization, sampling, and high-dimensional learning. 🔹 1. Quantum Support Vector Machines (QSVM) QSVMs use quantum kernel estimation, which allows efficient mapping of classical data into extremely high-dimensional Hilbert spaces. 🧪 Qiskit Example — Quantum Kernel from qiskit import BasicAer feature_map = ZZFeatureMap(feature_dimension=2, reps=2) kernel_matrix = quantum_kernel.evaluate(x_vec=[[0, 1]], y_vec=[[1, 0]]) 🔹 2. Quantum Neural Networks (QNNs) QNNs use variational quantum circuits trained with classical optimizers in a hybrid loop. Qiskit Example — A Simple VQC Model from qiskit import Aer backend = Aer.get_backend("statevector_simulator") qnn = TwoLayerQNN(num_inputs=2, num_qubit…  ( 7 min )

Leaving Zum Roten Bären behind them, Rothütle and Gord walk through the quiet evening streets of Freiburg. Gas lamps hum softly, and the Bächle along Salzstraße scatters the lantern light into restless silver ribbons. Rothütle unlocks the door to his small apartment, steps inside—and stops. An envelope lies on the floor. Perfectly placed. Waiting. He opens it carefully, scans the contents, and then says hastily, "I need to leave, Carl might be in trouble." Gord whispers, "The timing is funny." Then she adds, "What does it say?" Rothütle shows her the letter: Herr Osterman, I must speak with you at once. — Carl Benz "What kind of handwriting is this?" Gord asks. Rothütle frowns. "It's done by a mechanical writing apparatus. There is one called Schreibkugel created by Danes earlier this year…  ( 8 min )

Ever found yourself in a deep rabbit hole of copyright laws, only to emerge with a bewildered look and a newfound appreciation for public domain? I’ve been exploring this topic lately, and it's fascinating how the landscape of creative works is set to shift in 2026. If you’re anything like me, you might be wondering what it all means for creators, developers, and just regular folks looking to dabble in the arts. So grab a coffee (or your favorite beverage), and let’s chat about what’s coming to the public domain in a few short years. Before diving into the juicy stuff of 2026, let’s back up a bit. Ever wondered why certain works are available for remixing and reimagining while others aren’t? It boils down to time and copyright law. In the U.S., works published before 1923 are already in th…  ( 8 min )

Here is the COMPLETE internal Redux flow diagram + exact internal code that explains everything end-to-end exactly how Redux works under the hood. I’m giving: ✅ ASCII Diagram (Very clear) 1. FULL REDUX INTERNAL FLOW DIAGRAM ┌─────────────────────────────┐ │ Your Component │ │ dispatch(action) │ └──────────────┬──────────────┘ │ ▼ ┌─────────────────────────────┐ │ Store.dispatch │ └──────────────┬──────────────┘ │ ▼ ┌─────────────────────────────┐ │ Middleware Chain │ │ (logger → thunk → custom..) │ └──────────────┬──────────────┘ │ ▼ ┌─────────────────────────────┐ │ Reducer │ │ newState = reducer(old, a) │ └──────────────┬…  ( 7 min )

Barclays’ Codility OA is notorious for its elimination-level difficulty, especially the Hard mode that favors low-level system simulation. Many candidates fail not because the logic is impossible, but because the edge cases and hidden tests are brutal. Below is a clean, structured breakdown of the latest real memory manager questions, core solution patterns, and common pitfall-avoidance tips to help you ace the OA and secure the interview! Platform: Codility Difficulty: Hard (higher than typical LeetCode questions) Key Focus Areas: Memory management, state maintenance, edge-case handling, robust implementation Distinct Features: Long descriptions, many hidden edge cases (fragmentation, invalid ops, double free) 1. Basic Memory Allocator Requirement: Manage an N-byte memory block a…  ( 7 min )

MIUI encryption has been a major roadblock for users trying to recover their personal photos, videos, and backups stored in .lsa and .lsav files. For a long time, there was no clear working solution — most tools failed, and documentation was almost non-existent. On TheDevOpsRite, I have now successfully decrypted .lsa and .lsav files using Python, and I’ve shared the complete working process in a video tutorial. ✅ What This Solution Covers Understanding how MIUI encrypts .lsa and .lsav files Extracting the correct decryption hex key Using Python + PyCryptodome for real decryption Converting encrypted files back into usable photos/videos Handling padding and data integrity correctly This is a real, tested method — not a theory or fake tool. 🔐 Security & Ethical Use This method is strictly for educational and personal data recovery. Only decrypt files you personally own. Never share your hex keys publicly on forums or in comments. If you need help, always use private and secure communication. 🛠 Tech Stack Used Python 3 PyCryptodome MIUI encrypted backup analysis Custom scripts for .lsa / .lsav handling 🎥 Full Video Tutorial on TheDevOpsRite If your MIUI backups are stuck inside .lsa or .lsav files and you want a real recovery solution, this tutorial will guide you from start to finish. 👉 Watch here: https://youtu.be/t3Mznf2JULU?si=KfTWp_Gi0wec1-6l  ( 6 min )

If you keep running into random blocks, login issues, or endless security checks, it doesn’t always mean you did something wrong. Many websites quietly run your connection through an IP blacklist test and a bot checker to decide whether to treat you like a normal visitor or a possible risk. An IP blacklist test checks whether your current IP address appears on lists of “bad” or risky IPs. Security companies, anti-spam providers, and some platforms maintain these lists to reduce spam, brute-force logins, scraping, and malware. Your IP reputation can suffer even if you did nothing wrong. For example: someone on the same Wi-Fi abused a service you use public Wi-Fi in airports, cafés, or coworking spaces your VPN or proxy endpoint is shared by many users the IP belongs to a datacenter ra…  ( 9 min )

Developers are now using AI to read smart contracts, predict markets, and secure wallets. while AI companies turn to blockchain for data integrity and transparency. The result? Smarter, more trustworthy systems. It’s not hype. It’s happening. Right now, in the code.  ( 6 min )

Java decrementExact() Explained: Stop Integer Overflow Bugs Before They Happen Alright, let's talk about one of those "silent killer" bugs in programming—the kind that doesn't scream errors at you initially but can cause your app to behave in the weirdest, most unpredictable ways. I'm talking about integer overflow. You know the scenario. You're building a cool reverse counter for a rocket launch, managing inventory stock, or just tracking the score in a game. You use a simple count-- or i = i - 1. It seems foolproof, right? But what happens when your counter goes below the minimum value an int can hold? Spoiler alert: It wraps around to the maximum value. Your rocket launch countdown might suddenly jump from -2147483648 to 2147483647. Yikes. This is where Java's Math.decrementExact() me…  ( 11 min )

👋 Hey there, tech enthusiasts! I'm Sarvar, a Cloud Architect with a passion for transforming complex technological challenges into elegant solutions. With extensive experience spanning Cloud Operations (AWS & Azure), Data Operations, Analytics, DevOps, and Generative AI, I've had the privilege of architecting solutions for global enterprises that drive real business impact. Through this article series, I'm excited to share practical insights, best practices, and hands-on experiences from my journey in the tech world. Whether you're a seasoned professional or just starting out, I aim to break down complex concepts into digestible pieces that you can apply in your projects. Let's dive in and explore the fascinating world of cloud technology together! 🚀 Imagine Sarah, a DevOps engineer at …  ( 12 min )

This was originally posted on the VSL Substack publication. You just used AI to generate your API integration code, tested it locally, and deployed it to production because it seemingly worked perfectly. Two hours later, your logs are filled with parsing failures and users cannot complete actions because "Invalid JSON" errors are popping up everywhere. The AI gave you working code, but the problem is that it only worked in your controlled test environment with your specific input. It happened to me so many times I lost count, so I’m going to share one of the best ways to get your AI to generate valid json, every single time. When you are building features that depend on structured data like API integrations, database operations, or configuration files, JSON consistency directly determines…  ( 11 min )

Candy puzzle games—often referred to as “candy craze games”—look colorful and playful on the surface, but their underlying mechanics rely heavily on math, probability weighting, grid logic, and pacing algorithms that control difficulty, randomness, and player satisfaction. In this article, we’ll explore the mathematical and algorithmic foundations behind a candy craze game: How grids are generated How randomness is controlled (not actually random!) How cascades are determined How difficulty ramps up And how to design a fair but exciting experience Whether you're building your own HTML5 puzzle game or analyzing browser games for UI/logic inspiration, understanding these principles is crucial. A candy craze game appears simple: match 3 candies clear them trigger cascades refill the board Bu…  ( 11 min )

In her recent interview, Julia Kasper, co-founder and CEO of Zukunftmoor, argues that rewetting drained peatlands represents the single biggest climate opportunity in agriculture today. Although peatlands cover only about 3 % of the global land surface, they store more carbon than all the world’s forests combined. When peatlands are drained, a common practice for agriculture, they don’t just release CO₂ once; they leak carbon continuously, year after year. Restoring peatlands thus stops that “constant leak,” and rewetting them can turn a major source of emissions into a long-term carbon sink. But rewetting alone is not enough: farmers need viable, sustainable livelihoods. That’s where Zukunftmoor’s innovative approach comes in. They propose combining rewetting with cultivation of Sphagnum moss — a natural plant of peatlands — which can serve as a sustainable substitute for extracted peat in horticultural substrates. This turns rewetting from a purely ecological restoration act into a market-driven, economically viable land-use model. By using drones or hand-seeding methods, and developing harvesting and substrate-supply chains, the approach offers farmers a low-input, long-term pathway to maintain income while restoring degraded peatlands. With this combination of climate mitigation and practical agriculture, Kasper’s vision offers peatland regions across Europe a concrete alternative to drainage-based farming — one that aligns environmental restoration with economic viability. Original article published on Investing in Regenerative Agriculture.  ( 6 min )

Candy craze” games—fast, colorful, tap-driven puzzle or matching games—are among the most influential patterns in modern HTML5 casual gaming. Behind the bright animations and candy explosions lies a surprisingly elegant technical architecture built on event systems, rendering pipelines, interaction logic, and resource-efficient desi In this article, we’ll examine the engineering principles behind building a c, f If you're designing or studying HTML5 games, this genre is a near-perfect cas A Grid-ba T Chain reacti Particle effec Color-rich sprites and animations Mobile-first design This genre forces the developer to solve: how to detect matches efficiently how to animate falling pieces how to avoid layout jank how to maintain 60 FPS how to sequence chain reactions without blocking A perf…  ( 8 min )

I'm looking for career guidance. I work as senior software engineer. I have 10+yrs of experience.  I have worked in java, gwt, angular,react, aws lambda, accessibility, little bit of mongodb atlas ui. I work well but now when I look back I dont remember these skills in interview poit of view. I also feel lost in career. I want to refresh and upskill to align with current expectations for my experience. Also would like to know what skills and roles will be good choice,so that I can work on it? I have no guidance so I'm seeking for guidance so that I can have a good roadmap.  ( 6 min )

The “crazy pizza game” genre is a perfect case study for modern HTML5 game development. This article walks through the engineering patterns behind building a responsive, high-performance crazy pizza game on the web. Instead of focusing only on gameplay, we will explore the deeper architectural decisions that make the experience fluid and addictive. From an engineering perspective, pizza-assembly games include: rapid, state-driven UI changes high sprite density timers and dynamic difficulty touch-first interactions immediate player feedback loops frequent collision / hitbox checks continuous animation sequences This makes them excellent for demonstrating: rendering strategies input management memory optimization update loops performance constraints on real mobile devices It’s not just a “s…  ( 8 min )

Casual browser games have exploded in popularity over the last few years, and one of the most recognizable formats is the fast-paced “crazy pizza game” — a game where players quickly assemble pizzas, match ingredients, or manage orders under time pressure. But what does it take to build a game like this? In this article, we’ll break down the design and technical foundations behind a “crazy pizza game,” from core gameplay loops to rendering, performance optimization, asset pipelines, and browser considerations. 🍕 1. What Defines a “Crazy Pizza Game”? A typical crazy pizza game includes these characteristics: Fast decision-making Time-based challenges (countdowns, increasing speed, etc.) Ingredient combinations (drag-and-drop, tap-to-select, matching patterns) Continuous feedback (animation…  ( 11 min )

What I Built AuroraCanvas is a visually immersive generative art playground built with Uno Platform and powered by AI-assisted color and particle effects. Theme: Cosmic / Ambient / Fluid Visuals ✨ Dynamic AI-generated color palettes 🌌 Touch/mouse-responsive particle flows 🎵 Audio-reactive animations 💫 “Surprise Me” mode: continuously evolving scenes 🎥 Demo Live Demo (WebAssembly): [Insert link] Screenshots / GIFs: 🖥️ Windows: Full-screen particle animations 📱 iOS / Android: Touch painting mode 🌐 WASM: Browser-based experience Test Account (if login required): Email: test@demo.com Password: Demo123! 🧩 Cross-Platform Magic Platforms supported: iOS, Android Windows, macOS, Linux (Skia backend) WebAssembly Single codebase benefits: 95% shared code XAML-based UI Shared logic in .NET Onl…  ( 7 min )

Modern developer tools have become fundamental components which enhance coding operations while shortening the duration needed to finish projects. However the curation and selection process for developer tools that might be useful in the practice can feel as a daunting task because numerous platforms and utilities exist. In this article I’ve curated 9 of my recent favorite developer tools which help developers create applications through advanced authentication systems, headless CMS backends, visual website builders, API SDK generators and much more. These tools help developers save time while reducing obstacles to work on developing robust software. All the tools provide brief descriptions along with essential features, workflow image snaphots and direct access links which enable you to e…  ( 9 min )

Unleash AI Potential for Less: Top Promotions on AI Services You Can Grab Now! The world of Artificial Intelligence is evolving at lightning speed, offering unprecedented capabilities from advanced large language models to sophisticated image generation and robust data analytics. As businesses and developers race to integrate these powerful tools, a key consideration often arises: cost. The good news? AI service providers understand this need for accessible innovation, and exciting promotions on AI models, subscriptions, and paid plan benefits are blooming! This post dives into the current landscape of AI service promotions, helping you identify opportunities to maximize your AI budget, experiment with new technologies, and scale your projects without breaking the bank. Whether you're a …  ( 9 min )

By Clara Morales, Senior Data Analyst at Lomixone Trading platforms generate one of the richest, noisiest, fastest data environments in tech. Every second contains hundreds of micro-events: price ticks, order placements, cancellations, liquidity shifts, volatility spikes, latency anomalies, user signals, macro news triggers — and all of that must be captured, cleaned, structured, and delivered into analytics pipelines without losing accuracy or speed. As a Senior Data Analyst, my job sits somewhere between: data engineering quantitative analysis real-time observability product insight generation This article walks through how this role actually operates inside a trading environment, ending with a reproducible code example that demonstrates how we solve a real problem: detecting abnormal ma…  ( 9 min )

We are excited to announce major updates across our ecosystem: ONLYOFFICE DocSpace 3.6 and ONLYOFFICE Docs 9.2. These releases introduce a new layer of intelligent assistance with AI Agents in DocSpace and bring significant productivity enhancements to the editors, including customizable hotkeys and macro recording. Let’s explore what’s new for developers and power users. The main highlight of DocSpace 3.6 is the introduction of AI agents, bringing intelligent assistance directly into your collaborative workspace. These agents are designed to help you and your team work faster and more efficiently. You can set up an AI agent tailored to your specific needs. Once configured, you can interact with it through a dedicated chat interface. Simply ask questions or describe your task, and the agen…  ( 9 min )

Invokers are the coolest HTML API that you aren’t using. This is right about to drop in all major browsers. It’s available in Safari Technology Preview and Firefox and Chrome already. It is so cool. I want you to support my original content as well please, below is the link: HTML Invokers: The Coolest API You Aren’t Using Yet So, what are invokers? Invokers let your buttons actually do stuff without JavaScript. Like, at all. You just tell the button what element to control and what to do with it. That’s the whole thing. It’s wild that this hasn’t existed until now. How We’ve Been Doing It (The Old Way) Right now, if you want a button to open a dialog, you’re writing code like this: const button = document.querySelector('#open-button'); const dialog = document.querySelector(…  ( 9 min )

JAI Router is a minimal Spring Boot starter that centralizes dynamic route registration and exposes a small admin API for runtime routing. The project is ready for contributors — see CONTRIBUTING.md and issues labeled good first issue and help wanted. Problem Dynamic route registration is often scattered across services and hard to test. Existing solutions introduce heavy dependencies or tightly couple to framework internals. What JAI Router does Provides a small, testable API to register and manage routes at runtime. Integrates as a Spring Boot starter with minimal dependencies. Keeps route storage and dispatching modular and easy to mock in tests. Key features Runtime route registration and removal. Pluggable route matching and handler resolution. Small API surface suitable for microservices and integration tests . Quickstart Clone the repo: git clone hhttps://github.com/JAI-create-spec/JAI-Router/tree/develop Run locally: ./gradlew bootRun (Java 17) See README.md for quick-start snippets and example endpoints. Example usage How to contribute Pick a starter issue labeled good first issue or help wanted. Open small PRs with tests; maintainers aim to review quickly. Repo and license https://github.com/JAI-create-spec/JAI-Router/tree/develop License: see LICENSE Call to action If you work on Spring Boot routing or infrastructure, try the quickstart and pick a starter issue — contributions are welcome.  ( 6 min )

Hey dev fam 👋 Today I’m dropping something wild — a project built straight from real-world needs, tested in the field, and wrapped in clean Node.js engineering. Introducing ProblemPad: a community-powered problem-solving platform designed for neighborhoods, societies, and professional workers. Think of it like a digital notice board + service marketplace + community hub… all merged into one clean experience. And yes — it’s built with zero bloat, no GridFS, and an audio system running on pure MongoDB binary power. ⚡ GitHub Repo 👉 https://github.com/DeveloperPuneet/ProblemPad Let’s be honest — everyone has daily issues: Electrical faults ⚡ Plumbing breakdowns 💧 Device malfunctions 🔌 Community chaos 🏘️ But the real chaos? No unified place to report these issues and get them so…  ( 8 min )

Warm greetings, My name is Takeshi, a senior software engineer based in Japan leading a small development team focused on Web and AI applications. We’re now preparing to expand into the US software market. We’re looking for a partner who can help us secure software jobs or contracts by engaging with clients and managing the interview, while my team handles all job applications, the entire development process, and delivery. What You Gain Requirements If this sound like a good fit for you, please schedule a short call using the following link: Calendly Link Best regards, Senior Software Engineer | Team Manager passionmuse16@gmail.com https://github.com/sven3270350  ( 6 min )

This article is a machine translation of the contents of the following URL, which I wrote in Japanese: https://qiita.com/Nana_777/items/f5c2366d092226179477 This is the fourth post in the Japan AWS Top Engineers Advent Calendar 2025. This time, we'll discuss the AWS CDK, a commonly used tool for writing IaC code. LoudFormation, another AWS IaC tool, is easy to use with any text editor, but it can lead to redundant code. While AWS CDK is a bit more difficult to set up, it allows you to write IaC code efficiently with less code. This article explains how to set up and deploy the AWS CDK environment. ↓ Click here for the Japan AWS Top Engineers Advent Calendar 2025 https://qiita.com/advent-calendar/2025/aws-top-engineers The AWS Cloud Development Kit (CDK) is a tool for creating Infrastructur…  ( 10 min )

Spoiler Alert: This article is about using Mermaid diagrams as a method of re-enforcement in LLM prompting and not about the fary tail The Little Mermaid written by Danish author Hans Christian Anderson. You probably have seen a lot of Mermaid Diagrams already without even realizing that what is powering them is a formal description language which is very well understood by LLMs. Mermaid syntax is very good for describing formal, structural, or temporal information like "A happens, then B, and if X, then C". It forces clarity and guarantees that the visualization precisely reflects the text definition which makes it a perfect choice for a prompt as code approach. Complementing your text with additional Mermaid code in your prompt will provide the LLM so called "Dual-Path Reinforcement": T…  ( 10 min )

The Paradox: You're Climbing a Ladder That's Already Obsolete You’ve seen the charts. The endless tree of technologies you’re supposed to learn to call yourself “full-stack.” HTML, CSS, JavaScript, then React, then Node.js, then SQL, then NoSQL, then Docker, then Kubernetes… it never ends. But here’s the brutal truth: you’re preparing for a world that no longer exists. While you’re memorizing syntax, AI is building entire applications from a single prompt. The game has changed. The value is no longer in being a human code compiler. The value has shifted from writing the lines to architecting the system. Your old roadmap is a trap, designed to make you a commodity in a world that now values unique insight above all. The Analysis: From Code Writer to System Director The fundamental shift is …  ( 9 min )

Advanced Python Collections (List, Tuple, Set, Dictionary) PART-1: LIST – Advanced Concepts 1. List Comprehension With condition: 2. Nested List Comprehension 3.List Slicing 4.Important List Methods Example: 5.Cloning a List PART-2: TUPLE – Advanced Concepts 1.Tuple Unpacking 2.Tuple with * (Extended Unpacking) 3.Why Tuple Is Faster? Immutable → stored in continuous memory Faster iteration than list Used for fixed data (lat/long, config) 4.Convert List to Tuple PART-3: SET – Advanced Concepts 1.Set Operations print(A | B) # union ✔2.Remove Duplicates from List Using Set 3.Add & Remove Elements 4.Set Comprehension PART-4: DICTIONARY – Advanced Concepts 1.Dictionary Comprehension 2.Looping Through Dictionary 3.Merging Two Dictionaries 4.Dictionary Methods 5.Using Dictionary as Counter PART-5: Collections Module (Important for Interviews) 1.Counter 2.defaultdict 3.deque 4.OrderedDict PART-6: Interview Programs Using Collections 1.Find the most repeated element 2.Reverse a list without using reverse() 3.Merge two lists into dictionary 4.Remove duplicates while preserving order 5.Convert dictionary to list of tuples d = {"a":1, "b":2} print(list(d.items()))  ( 7 min )

Debating is an art – it’s not just what you say, but how you say it. Imagine having a personal AI coach that not only challenges your arguments in real-time but also tracks your performance, gives constructive feedback, and helps you grow as a debater. That’s exactly what I built for this Hackathon: DebateMaster AI. DebateMaster-I is a real-time debate coaching platform that leverages Google's Gemini Live API for bidirectional voice streaming. Unlike traditional debate apps, this platform is designed to analyze your performance on the fly, track your improvement, and help you refine your skills through AI-powered insights. Here’s how it works: Enter a debate topic, for example: "Impact of Pollution on Living Organisms" Choose your debate style: Coach mode for supportive feedback or Fierce…  ( 7 min )

What are AI agents for scraping A user gives an LLM prompt for scraping. Agent breaks it down into subtasks and organize the work. Agent automatically asks for additional information if needed. The task is completed. AI agents for web scraping can perform assignments that previously required manual scripting. Separate tools already exist for searching, loading webpages, clicking buttons, and filling forms. Instead of executing them by hand, they can be combined and integrated into a unified research agent. AI agents use automatic scraping tools to: Navigate to a website. Handle interactions (clicks, scrolling, waiting for JS). Fetch HTML or rendered content. Parse and clean data. Output structured data (JSON, CSV, etc.). What makes agentic workflow superior to AI workflow You send a promp…  ( 8 min )

THE MYTH You believe your six-figure salary means you are a creator. A builder. An engineer. You think that because you can stitch together a React frontend with a Firebase backend, you are practicing a high-level craft. This is a comforting lie. You are a technician. A digital plumber connecting pipes that smarter people built. THE PAIN This delusion makes you fragile. Your entire career is built on a framework that will be obsolete in five years. Your 'skill' is your knowledge of a specific API's documentation. You are infinitely replaceable. A cheaper developer from another continent, or a purpose-built AI, can do your job. You are a commodity, and the market is about to correct its overvaluation of your role. You are not building leverage; you are renting it. THE RED PILL The system do…  ( 9 min )

Model Context Protocol (MCP), has officially hit one year old as of November 25th and although there have been some amazing innovations within MCP, one issue still persists - the gaping security hole. This is no secret as just about every organization is talking about it. The long-running joke so far has been “The S in MCP stands for security”. Aside from prompt injections, MCP Server security is arguably the biggest issue in the AI security world right now. In this blog post, you’ll learn how to fix the gaps. To follow along with this blog post, you should have: A Kubernetes cluster running (it can be local). Kubernetes Gateway API CRDs installed, which you can find here. There are two forms of MCP servers: stdio StreamableHTTP stdio (the communication method) stands for standard input/ou…  ( 11 min )

Most search engines will show you pages that mention the same keywords. But what if you want to find articles that express the same ideas, even if they’re written completely differently? That’s the problem that pushed me into building something new. A few months ago, I needed to verify whether parts of my content were being reused online. Google wasn’t helpful — keyword search missed half of the semantically similar pages. Rephrased paragraphs were completely invisible. So I built my own engine. Today, I’m excited to introduce Nooth, an AI-powered system that takes any text you enter and searches the web for content with similar themes, ideas, and semantic meaning. Drop in a paragraph → get URLs, similarity percentages, and deep analytical insights. Here’s how it works under the hood. 🚀 T…  ( 8 min )

🏆 Recognition of the Winners of the Agentic Postgres Challenge with Tiger Data 🥇 First Place – Simran Shaikh (@simranshaikh20_50) Innovation: Leveraged Tiger Cloud’s zero-copy database forks to run four specialized agents (Quality, Security, Performance, Documentation) in parallel. Impact: Reduced analysis time from 40–60 seconds to just 10–15 seconds, achieving a 4x performance improvement. 🥈 Second Place – Mayuresh (@mayu2008) Innovation: Combined pg_text and pgvector in a hybrid search, achieving 23% higher accuracy compared to each method individually. Impact: Five agents analyze financial transactions in parallel with response times under 100 ms. Built in Rust, with Fluid Storage enabling a 95% cost reduction. 🥉 Third Place – Divya Singh (@divyasinghdev) Innovation: Four specialized agents analyze code quality, technology stack, career readiness, and innovation. Impact: Transformed a sequential process of 1–2 minutes into a real-time experience (<10 seconds). Utilized Tiger CLI, zero-copy forks, and pg_text search to extract semantic patterns from repositories. 🙌 Recognition of All Participants 🌐 Special Acknowledgment 📌 Closing The REMI team celebrates and congratulates the winners of the Agentic Postgres Challenge with Tiger Data, reaffirming that technical innovation, discipline, and collaboration are the pillars driving the future of development.  ( 7 min )

The Nop platform does not use common GraphQL open-source libraries such as graphql-java; instead, it implements the NopGraphQL engine from scratch. The NopGraphQL engine introduces many novel implementation approaches that broaden GraphQL’s scope of application and enhance its practicality. For detailed documentation, see graphql/index.md GraphQL requires the frontend to specify the fields to be returned, which can be cumbersome when there are many fields. In such cases, you can use the Fragment feature of the GraphQL language to define common field sets and reference these fragments in queries to simplify them. F_ Each backend service object in the Nop platform has an associated XMeta metadata model file, where you can augment GraphQL types with additional metadata. <selections…  ( 9 min )

The European regulatory environment for crypto is evolving rapidly, and MiCA is the most significant development shaping how businesses operate across the European Union. Companies launching exchanges, custody solutions, OTC desks, tokenization platforms or payment systems must now comply with a unified regulatory structure that is far more demanding than the previous patchwork of national rules. Preparing for authorization requires a strategic, methodical and well-organized approach that goes far beyond producing a few basic compliance documents. MiCA introduces a new regulatory architecture designed to ensure consumer protection, market integrity and financial stability. It defines a complete framework for authorization, governance, internal controls, AML procedures, ICT security, operat…  ( 8 min )

สวัสดีครับ! นี่คือบทความสรุปการเดินทางของเราในการพยายามรันโมเดล Typhoon 2.5 (ทั้ง 30B และ 4B) บน Google Colab Free Tier ครับ เราได้ลองผิดลองถูกมาหลายวิธี และนี่คือบทเรียนทั้งหมดที่เราพบ ตั้งแต่ความล้มเหลวไปจนถึง Config ที่ดีที่สุดครับ อ่านฉบับเต็ม... ความฝันของเราคือการรันโมเดลเรือธง 30B แต่ความจริงก็คือ: Ollama (บน T4 GPU): รอดแบบเฉียดฉิว! ใช้ VRAM 14.3 GB จาก 15 GB ที่มีให้ นี่คือการรัน "จนเต็มขีดจำกัด" ของ T4 Transformers (เขียนโค้ด Python): ล่มโดยสิ้นเชิง! บน T4 (GPU): เจอปัญหา "Disk is almost full" (Disk 112GB ไม่พอโหลดโมเดล 60-70GB) บน TPU (v5e-1): แก้ปัญหา Disk ได้ แต่เจอ "Time Out" (แค่โหลดโมเดลก็ 40 นาที จนค้าง) สรุป Part 1: ถ้าอยากลอง 30B บน Colab ฟรี, Ollama คือทางเดียว (แต่ก็เสี่ยงมาก) ส่วน transformers นั้น "เป็นไปไม่ได้" Ollama (บน CPU Runtime): รันได้! ใช้ System RAM ~3.5G…  ( 7 min )

Introduction Prompting used to feel like magic. Sometimes the AI gave great results sometimes it didn’t. But modern AI workloads require consistency, structure, validation, and reliability — not guesswork. This is where Mellea steps in. Mellea is changing the way developers craft prompts by introducing structured, modular, and reusable prompt design. Instead of writing plain text prompts, Mellea lets you create smart, dynamic, and interactive prompt components. Mellea transforms ordinary text prompts into well-defined, self-correcting AI functions that produce predictable and error-free outputs. Mellea is a Python-based framework that allows you to build prompt , reuse them, and execute them like code. This makes prompting more consistent, scalable, and easier to maintain. Mellea is a r…  ( 8 min )

Get ElementById() ,get ElemenyByTagname() GUhan document.getElementById("data").value 3 move input to paragraph Step 1: enter data Chennai in (form) step 2: click the button submit step3: store value in box(memory) step4:move data into innerHTML chennai Document input{width:40%;height:40px;}h2,p{color:red;} button{width:40%;height:40px; background-color: blue;color:white}; Select By Id …  ( 12 min )

A post by Mehfila A Parkkulthil  ( 6 min )

UX Design: Turning Website Visitors into Customers & Boosting Conversion If you’ve ever stared at your website analytics and thought, “We’re getting visits… so why aren’t people buying?”, you’re not alone. Many businesses assume they have a marketing problem when, in reality, they have a user experience problem. Think of UI/UX design as the bridge between intention and action. People land on your website with a goal. They want information, pricing, clarity, or confirmation. If that path is confusing, slow, or hard to navigate, they don’t complain; they leave. Investing in UI/UX isn’t about making your website “look nicer.” It’s about making it usable, trustworthy, and purchase-friendly. That’s how visitors turn into customers. Before diving into design tactics, we need to talk about conv…  ( 11 min )

Arch gives you the steering wheel and the broom. On my Arch setup, Limine boots a BTRFS root while Snapper snaps a before/after every time I poke pacman. It's gorgeous, rollbacks for days, but the snapshots stack up faster than RGB stickers unless I sweep them out. So I wrote this simple cleanup.sh, my tiny digital janitor. "I use Arch btw." Pacman + Snapper hooks = instant safety net. If a wile build breaks stuff, I just reboot, pick the previous snapshot in Limine, and carry on. I settled on CachyOS and HyDE on top of it, after trying and experimenting with multiple setups. Now CachyOS loves performance tweaks, which means I love experimenting. Snapshots let me go full mad scientist without sweating the fallout. Doing the cleanup myself keeps that classic Arch vibe: I decide what stays, …  ( 8 min )

When crafting user interfaces, designers and developers often need to present visuals, forms, and scripts before real data is available. Mock elements, placeholders and fictional samples, make this possible with both clarity and tradition. Below are some of the most famous placeholders and their backstories. Mock elements act as stand-ins for actual content, helping designers and clients focus on visual structure, usability, and layout, undistracted by real-world data or identities. They keep prototypes relevant, flexible, and safe for sharing and testing while enabling early feedback and iteration. History: The “lorem ipsum” text originated from a scrambled section of Cicero’s 1st-century Latin treatise “de finibus bonorum et malorum.” Letraset further popularized it in the 1960s for typ…  ( 8 min )

YAML is a great file format, used for writing configuration files; and more and more, as a foundation for Domain Specific Languages (DSLs), such as the ones for Docker and Kubernetes. We have all, however, suffered from a frustration: YAML is fundamentally a static file format. How can we make it dynamic? It starts with the fact that some string, like http://dev.company.local appears several times across the files. server: url: http://dev.company.local ... documentation: url: http://dev.company.local/docs ... And the day that address changes, what do we do? Do a search/replace in the config files? Nah... this is brittle and things will get worse before they get better. And in any case, it doesn't solve many cases where a "small" change of parameter (from dev to test and from te…  ( 8 min )

Let me paint you a picture: You finally crack the code. Your content ranks #1 for a high-value keyword. You're celebrating with overpriced coffee. Then you check analytics and... nothing. Zero clicks. Welcome to zero-click search, where winning means Google answered the question so well that nobody needs to visit your website. Chef's kiss for user experience. Absolute nightmare for your traffic metrics. But here's the thing—this isn't going away. By late 2025, we're seeing AI Overviews (Google's fancy term for AI-generated answer boxes) on roughly 15-20% of queries. Featured snippets? They've been eating our lunch since 2017. And if you think this trend reverses in 2026, I have a metaverse timeshare to sell you. The question isn't whether to optimize for zero-click results. It's how to do …  ( 11 min )

When bad configuration kills all internet proxies TL;DR: Overly large auto-generated config can crash your system. Config overload Hardcoded limit Lack of validations Crash on overflow Fragile coupling Cascading Failures Hidden Assumptions Silent duplication Unexpected Crashes Thread panics in critical paths Treating internal data as trusted input Poor observability Single point of failure in internet infrastructure Validate inputs early Enforce soft limits Fail-fast on parse Monitor config diffs Version config safely Use backpressure mechanisms Degrade functionality gracefully Log and continue Improve degradation metrics Implement proper Result/Option handling with fallbacks Treat all configuration as untrusted input Refactoring 004 - Remove Unhandled Exceptions Maxi Contieri ・ Feb 10 '2…  ( 25 min )

contributors: @parin-k, @sumit12dec If you're familiar with a payments company, you know the drill. Risk agents manually review thousands of merchant websites every month, checking for red flags: sketchy privacy policies, misaligned pricing, questionable social media presence, suspicious domain registration patterns. At Razorpay, our risk operations team was conducting 10,000 to 12,000 manual website reviews monthly, each taking roughly four minutes of human attention. That's 700 to 800 human hours consumed every month, and the quality was inconsistent because different agents would interpret the same signals differently. The traditional approach to fraud detection involves throwing bodies at the problem or building rigid rule engines that break the moment fraudsters adapt their tactics. …  ( 13 min )

The momentum around Generative AI isn’t slowing down if anything, it’s accelerating. Just last year, everyone was talking about its potential, but this year the impact has multiplied exponentially. Across industries, leaders are waking up to the fact that bold, strategic adoption of GenAI determines whether a business falls behind or rises above its competition. Yet, despite all the hype, there’s a surprising data point: while 90% of software development professionals use AI daily, only 13% of enterprises are actually thriving with it. Why such a massive success divide? The truth is simple: winning with GenAI depends on how well an organization manages its data and integrates AI-powered business solutions into its ecosystem. When data is connected, secure, and accessible, teams can work wi…  ( 8 min )

Refactoring becomes easier when you receive fast feedback about improvement options in code. GitHub Copilot Chat already helps with this, but writing a long prompt each time feels wasteful. A small prompt instruction file in your repository removes friction. This article walks through one concrete example. GitHub Copilot Chat supports reusable prompts stored under a .github/prompts folder in your repository. Each file holds instructions for the agent. You reference such a file from chat with a slash command instead of copying full text again. This section focuses on one refactoring helper prompt. Create folder .github/prompts in your repository if it does not exist yet. Add a new markdown file named refactoring_opportunities.prompt.md inside this folder. Use the following content. --- agen…  ( 8 min )

Copy and paste does not work well on Proxmox KVM on the UI. We created a script to simulate keyboard typing and paste data over KVM when using the UI. Open your Chrome Dev Tools, and paste this. function simulateKeyEvent(el, eventType, key, options = {}) { const evt = new KeyboardEvent(eventType, { key, ...options }); el.dispatchEvent(evt); } const sendKey = (char) => { let capsLockOn = false; const SHIFT_NEEDED = /[A-Z!@#$%^&*()_+{}:"?~|]/; const canvas = document.querySelector("canvas"); canvas.focus(); if (char === '\n') { simulateKeyEvent(canvas, "keydown", "Enter"); simulateKeyEvent(canvas, "keyup", "Enter"); } else { const needsShift = SHIFT_NEEDED.test(char); const isUpperCase = char >= 'A' && char <= 'Z'; if (needsShift) { simulateKe…  ( 7 min )

The Misunderstanding That Reveals the Future “They told us: ‘The EU AI Act is coming — better prepare.’ But what if some of us didn’t need to prepare? What if we built for that world before the ink dried on the legislation?” Some see the upcoming regulation as another compliance burden. We built TAUGuard — not as a response, but as the foundation. The advent of regulation such as the EU AI Act, alongside standards like ISO 42001 and frameworks such as NIST RMF, signals a tectonic shift: From retrospective compliance (reports, audits) → to real-time assurance. From static documentation → to dynamic, executable compliance. From paper‑trail governance → to code-anchored governance — fresh, live, unforgeable. In other words: laws and standards no longer ask whether you did it — the…  ( 7 min )

I’ve published a new tutorial on Djamware.com that dives deep into building native, framework-agnostic Web Components using modern browser standards. In this guide, you’ll learn: What Web Components are and why they matter How Custom Elements and Shadow DOM work How to build components using templates and slots How to pass data with attributes and properties Best practices for performance, accessibility, and component APIs How to build a real component with encapsulated styles 👉 Read the full tutorial: https://www.djamware.com/post/692e739ecfbd910fde2b32a1/designing-with-web-components-custom-elements-shadow-dom-in-html If you're building reusability into your UI or creating cross-framework components, this tutorial is for you. Let me know what components you’d like me to build next!  ( 6 min )

We live in a world where you can meet someone in Tokyo, collaborate with someone in Lagos, and build with someone in New York — all before lunch. But even with all this tech, real connection still feels hard. That’s exactly why ConnectApp Inc. exists. We’re not here to be just another app. 🌍 Connection, But Make It Real Gen Z doesn’t want noise. ConnectApp is built to: Link people with shared interests and goals Support creators, entrepreneurs, students, and innovators Turn conversations into collaborations Make networking feel natural, not forced No pressure. No fake energy. Just real people building real things. 💡 Built for the Future (Not the Past) We’re a generation that moves fast, thinks global, and builds digitally. ConnectApp is designed with: A clean, modern experience Smart networking tools Spaces for projects, ideas, and opportunities Features that grow with your ambition Whether you’re: A startup founder A creative A student A freelancer Or just someone with big ideas There’s space for you here. 🔗 More Than an App — It’s a Movement ConnectApp Inc. is about: Collaboration over competition Community over clout Impact over hype We believe the next big things won’t come from isolated individuals — they’ll come from connected minds. And that’s where you come in. ✨ Join the New Wave of Digital Connection Gen Z is rewriting the rules of work, networking, and collaboration. ConnectApp is simply giving us the tools to do it better. This is your space to: Connect Create Grow Build the future together The future isn’t just digital. It’s connected. — ConnectApp.inc  ( 7 min )

Unleash Dynamic Content: Mastering the Elementor Flip Box Widget for Engaging WordPress Sites In today's competitive digital landscape, capturing and retaining user attention is paramount for any website owner. Merely presenting static information often falls short of creating a memorable user experience. This is where dynamic, interactive elements come into play, transforming passive browsing into an engaging journey. For WordPress users leveraging the power of Elementor, a popular page builder, there's a straightforward yet incredibly effective tool to achieve this: the Flip Box widget. Designed to add a layer of interactivity and visual flair, the Elementor Flip Box allows you to display information in a novel way that encourages exploration and makes your content truly pop. What is the…  ( 8 min )

Branch development is a key aspect of software development. The idea here is you clone (i.e. copy) the code you’re going to work on onto your own computer, then you can make your necessary changes, then lastly save it back to the official code repository. In other words, you take the copied code and “branch” off with it to make changes. Then you “merge” your branch back into the main repository of code. In my old job, Pega handled this on it’s own. It had it’s own branching tools, so I could copy the low code settings into my own branch, make my changes, then check them back in to the official code. But outside of low-code tools like Pega, developers primarily use git to help manage their branch development. With 100Devs, I’ve been pushing the HTML and CSS projects into Github. In the past…  ( 7 min )

Okay, that headline sounds pretty cocky, I know. But as far as I've been able to Google — this really is the first attempt at something like this. If I'm wrong — drop a comment, I'd love to check out alternatives. Meanwhile, let me tell you what this beast is and why it even exists. It all started with microfrontends. You know, when you have one project, but inside it lives Vue, React, and maybe some legacy jQuery that nobody wants to touch because "it works, don't touch it." So you're sitting there, a designer brings you a mockup of a new button. A beautiful button, with a gradient, with hover effects, everything just right. And you realize that now you're going to have to: Write this button for Vue Write the same button for React Write it one more time for that legacy code Pray that they…  ( 12 min )

Imagine waking up in 2035. You buy coffee, pay rent, send funds abroad… and at no point do you think: Should I convert first? Because you don’t need to. The rails under the system do that for you. That’s the world Crypto-as-a-Service (CaaS) is quietly building. Platforms like Coinbase CaaS and WhiteBIT CaaS are basically the hidden rope tying fiat and crypto together. Users pay as usual, but behind the scenes, assets swap, settle, stake, and move across chains without friction. It’s not “using crypto.” using money. This is what adoption actually looks like - not flashy slogans, but infrastructure that disappears into the background. Absolutely - not because they suddenly become blockchain experts, but because crypto will blend into their daily routines. Convenience always wins. When people don’t need 12 tabs open, a gas calculator, a prayer, and a Ledger update just to move $50, adoption skyrockets. Crypto will feel less like an “industry” and more like the default financial layer of the internet. Modular chains, tokenized assets, real-world rails, even AI-driven compliance - all of it pushes us toward a system where money works faster, cheaper, and more globally than legacy finance ever could. When crypto becomes truly mainstream… And that’s a feature, not a bug. 👉 If you want to dive deeper into how CaaS shapes this future, you can find more info here.  ( 7 min )

Built InvoiceQuick because generating a simple invoice should not require opening bloated accounting software or fighting with spreadsheets. The goal has always been simple: make invoicing easy, with no learning curve and no hassle. Just a clean, fast way to get paid. Who it’s for: Freelancers, solopreneurs, consultants, agencies, and small businesses who want to create invoices quickly without templates, spreadsheets, or lengthy setups. What makes InvoiceQuick stand out: • Paste > Invoice: Turn plain text into a full invoice instantly. • Snap > Invoice: Convert handwritten notes into an invoice using your mobile camera. • Upload > Invoice: Drop screenshots, photos, or scans and let the app build the invoice automatically. • Smart payment links to help clients pay faster. • One-click due reminders so you never have to chase payments manually. • Share invoices through WhatsApp, Messenger, email, or any app you prefer. • Customize invoice color that resonates with your brand. • Simple, clean UI designed so even a primary student can create an invoice. If you’re a freelancer or running a small business, I’d love your feedback. So, I’m excited to share this one with the community. You can check it out here: https://invoicequick.app I would like to hear your thoughts or suggestions. I am building this feature one step at a time with input from real users.  ( 7 min )

You know the brief: “Client wants to build a crypto exchange. How hard can it be?” On a slide, it looks like just another product: sign-up, balances, charts, an order form. But under the UI, you’re gluing together custody, a trading engine, compliance logic, and 24/7 operations. If you treat it like a normal CRUD app, you’re going to have a bad time. This post is a practical walkthrough of the main architecture decisions you need to force to the surface early, before you’re buried in features and tickets. 1. Decide what you’re actually matching Before database schemas, microservices, or picking a message bus, you need to answer: Are we building a CEX (internal order book and matching)? A P2P marketplace (offers + escrow, no central book)? An OTC workflow (RFQs, quotes, manual approvals)? S…  ( 9 min )

Sector HQ Weekly Digest - December 2, 2025 Who's shipping vs who's just talking? Here's this week's AI industry intelligence. OpenAI - Score: 516189.8 | 1993 events this week Anthropic - Score: 289651.9 | 328 events this week Google - Score: 159917.4 | 100 events this week Microsoft - Score: 136773.6 | 892 events this week Amazon - Score: 130268.4 | 61 events this week Nvidia - Score: 129302.5 | 75 events this week Meta - Score: 100622.6 | 42 events this week Apple - Score: 84205.9 | 81 events this week Perplexity - Score: 47899.8 | 7 events this week DeepMind - Score: 46045.2 | 10 events this week ↑ Sony jumped 277 positions to #46 ↑ Hippocratic jumped 192 positions to #75 ↑ Stability AI jumped 183 positions to #62 ↑ Bytedance jumped 143 positions to #49 ↑ Raspberry Pi jumped 138 positions to #65 No high hype alerts this week Total companies tracked: 84 Total events this week: 3910 Average activity per company: 46.5 events The AI industry continues to evolve rapidly. Companies that ship consistently rise in our rankings, while those focused on hype alone get flagged by our Hype Gap detector. Methodology: Our leaderboard tracks real product releases, funding events, partnerships, and market traction - not just PR and social media buzz. Want real-time updates? Check out the live leaderboard at sectorhq.co Track specific companies and get instant alerts when they move in the rankings. Tags AI #ArtificialIntelligence #MachineLearning #TechIndustry #Startups #AILeaderboard  ( 6 min )

Revolutionizing Enterprise: How Startups Are Shaping the Future of Corporate Innovation Introduction In an era where technological evolution is relentless, established corporations face the challenge of maintaining relevance and competitive edge. Startups, with their agility and innovative mindset, are emerging as catalysts for corporate transformation. This synergy between startups and corporations is redefining innovation strategies, fostering disruptive solutions, and accelerating digital transformation. The Role of Startups in Corporate Innovation Agility and Risk-Taking Startups operate with minimal bureaucratic constraints, allowing rapid experimentation and iteration. Their willingness to take risks enables the development of groundbreaking solutions that can be integrated into larg…  ( 8 min )

First request to your AI model: timeout. Second request: instant success. If you've integrated AI APIs into serverless applications, you've probably hit this wall. Here's what's happening, why it matters for user experience, and how I solved it without forcing users to manually retry. I was testing LogicVisor (a code review platform using Gemini AI) when I noticed a pattern: after a few hours of inactivity, the first API call would consistently fail with "Model is temporarily unavailable. Please try again later". Trying again just a few seconds later always worked. For a new user trying the platform for the first time, their experience would be: Submit code for review See an error message Get told to "try again" As you can expect, this isn't a great first experience. Even if the issue woul…  ( 9 min )

Built InvoiceQuick because generating a simple invoice should not require opening bloated accounting software or fighting with spreadsheets. The goal has always been simple: make invoicing easy, with no learning curve and no hassle. Who it’s for: Freelancers, solopreneurs, consultants, agencies, and small businesses who want to create invoices quickly without templates, spreadsheets, or lengthy setups. What makes InvoiceQuick stand out: • Paste > Invoice: Turn plain text into a full invoice instantly. • Snap > Invoice: Convert handwritten notes into an invoice using your mobile camera. • Upload > Invoice: Drop screenshots, photos, or scans and let the app build the invoice automatically. • Smart payment links to help clients pay faster. • One-click due reminders so you never have to chase payments manually. • Share invoices through WhatsApp, Messenger, email, or any app you prefer. • Customize invoice color that resonates with your brand. • Simple, clean UI designed so even a primary student can create an invoice. If you’re a freelancer or running a small business, I’d love your feedback. So, I’m excited to share this one with the community. You can check it out here: https://invoicequick.app I would like to hear your thoughts or suggestions. I am building this feature one step at a time with input from real users.  ( 7 min )

Task queues and background workers are fundamental patterns in modern software architecture. If you're building an app that does anything heavier than a simple database query and you want it to scale, you need Task Queues. I learned this while building something of my own. So, I was working on something, a more personalized version of Filmot. If you aren’t familiar, the idea is simple: I wanted to build a search engine that could index my personal YouTube playlists and let me instantly search through the transcripts (as well as titles and descriptions) of every video in those playlists. The user experience was designed to be pretty straightforward: You log in using Google OAuth and grant read access to your YouTube account. You pick a playlist from your dashboard. You hit the "Start Index…  ( 12 min )

film shop more confidently and select films that support your creative process. Choosing the Right Film Before you visit a film shop, it helps to know which type of film you want to shoot. You will come across black and white films, color negative films, and slide films. Each option produces a different visual result. If you are just starting, choose one type and shoot consistently for a while so you can learn how it behaves. Understanding ISO Film ISO affects how your images look and how you shoot. Lower ISO films perform best in bright conditions and offer finer grain. Higher ISO films handle low light better and often show more visible grain. When you walk into a film shop, knowing your preferred ISO makes selection easier. Checking Expiry Dates Film does not last forever. Expiry …  ( 7 min )

There are 4 types of analytics in data world: 1) Descriptive Analytics → What happened? It summarizes past data Example: “Sales increased 15% last month” Used visuals: tables, cards, bar charts 2) Diagnostic Analytics → Why did it happen? It explains the reason behind the result Example: “Sales increased because ads performed well” Tools: Decomposition tree, Key Influencers 3) Predictive Analytics → What will happen? It forecasts the future Example: “We predict a 20% drop in churn next month” Tools: ML models, forecasting, AutoML 4) Prescriptive Analytics → What should we do? It suggests the best action based on predictions Example: “Offer a discount to high-risk customers” “Increase ad budget for Segment A” “Send follow-up emails to low-engagement users” 💡 Prescriptive = M…  ( 15 min )

Nice — let’s build a practical, copy-pasteable guide you can use right away: patterns, pom.xml/build.gradle snippets, application.yml examples, complete code samples (CircuitBreaker, Semaphore & ThreadPool Bulkhead, Retry, TimeLimiter, RateLimiter), combining annotations, testing tips, monitoring, tuning, and deployment notes. Assumptions: you’re using Spring Boot with the resilience4j-spring-boot2/resilience4j-spring-boot3 integration (Resilience4j 1.x/2.x work similarly). I’ll show plain Java + Spring examples (non-reactive). If you want reactive examples later, I can add them. Maven (pom.xml) org.springframework.boot spring-bo…  ( 11 min )

Inside the Core Concept of Fine-grained Reactivity In the previous article, we challenged one of React’s foundational assumptions — Before we dive deeper, let’s take a fresh look at how React actually processes state updates: If you’ve been working with React for a while, this flow should look familiar. Now let’s compare that to what happens in a fine-grained reactivity system: To make the difference clearer, here’s a side-by-side comparison: Aspect React (useState + Virtual DOM) Fine-grained Reactivity (Signals/Atoms) Update granularity Component (entire subtree) State cell (single value) Dependency tracking Re-run component → diff VDOM Track on read, notify on write Scheduling model Async batch → diff → commit Async batch → topo-sorted propagation Idle cost Re-run functi…  ( 9 min )

As a Python developer, I ran into an annoying problem: my PyInstaller-compiled executables kept getting flagged as viruses by Windows Defender. After hours of research and frustrating whitelist attempts, I discovered Nuitka – and it changed everything. In this article, I'll show you how to convert Python projects into clean, performant EXE files using Nuitka that won't get blocked by antivirus software. PyInstaller has been the go-to tool for creating Python executables for years. But there's a massive problem: false positives from antivirus software. Why does this happen? PyInstaller uses a bootstrapping mechanism that looks similar to malware behavior The EXE unpacks itself at runtime into temporary folders This behavior triggers heuristic virus scanners Microsoft Defender is particularl…  ( 12 min )

You shipped a feature. It worked great when you tested it with 10 records locally. Then it hit production, the data grew, and now your page load is measured in coffee breaks, not milliseconds. Your stakeholders are calling. The Product Owner is pacing. You start hearing that classic, self-soothing lie: "It works on my machine!" No, champ, it doesn't. You've walked right into N+1 query hell, and you didn't even pack a bag. Look, ORMs (Object-Relational Mappers) are great. They let junior devs—and let's be honest, exhausted senior devs—write complex database operations without remembering the exact syntax for a LEFT OUTER JOIN. But they also make it ridiculously easy to accidentally turn one simple data request into a thousand database trips. The N+1 problem happens when you need a collectio…  ( 8 min )

Unlocking AI-Powered Search and Analytics with OpenSearch 3.0 As a developer, you're likely familiar with the pain points of implementing search and analytics solutions in your applications. Traditional solutions often fall short when it comes to scalability, flexibility, and performance. Enter OpenSearch 3.0, a revolutionary open-source platform that's poised to change the game. In this article, we'll delve into the practical AI implementation details, code examples, and real-world applications of OpenSearch 3.0. What's New in OpenSearch 3.0? OpenSearch 3.0 is more than just a version bump – it's a signal flare indicating a major shift towards a more scalable, flexible, and future-ready open-source engine. The modular architecture, performance leaps, and deeper AI workload support mak…  ( 7 min )

Theo báo cáo mới nhất từ World ACD, giá cước hàng không xuất phát từ khu vực Châu Á - Thái Bình Dương đang duy trì đà tăng do nhu cầu xuất khẩu tăng mạnh và công suất hạn chế trên các tuyến chính. 📌Tác động chính đến chuỗi cung ứng 📌Khuyến nghị từ Legend Shipping 👉Legend Shipping luôn cập nhật thị trường và tối ưu giải pháp logistics cho khách hàng, đảm bảo hiệu quả - ổn định - đúng tiến độ trong bối cảnh biến động giá cước. ✈️ AIR CARGO MARKET UPDATE - ASIA PACIFIC: RATES KEEP RISING 📌 Recommendations from Legend Shipping 👉 Legend Shipping continuously monitors the air cargo market and provides optimized logistics solutions to ensure efficiency - stability - on-time performance amid rate fluctuations. ✈️ 空运市场快讯 - 亚太地区: 运价持续上升 𝗟𝗘𝗚𝗘𝗡𝗗 𝗦𝗛𝗜𝗣𝗣𝗜𝗡𝗚 𝗚𝗥𝗢𝗨𝗣 Info@legend-shipping.com Lghp@legend-shipping.com '' 𝑪𝑯𝑼𝒀𝑬̂𝑵 𝑵𝑮𝑯𝑰𝑬̣̂𝑷, 𝑻𝑨̣̂𝑵 𝑻𝑨̂𝑴, 𝑻𝑰𝑵 𝑪𝑨̣̂𝒀 𝑽𝑨̀ 𝑯𝑰𝑬̣̂𝑼 𝑸𝑼𝑨̉ '' logistic #dichvuvanchuyen #khaithuehaiquan #vanchuyenduongbien #vanchuyenquocte #vanchuyennoidia vanchuyencontainer #vanchuyenhangnguyhiem #vanchuyenhangquakRhoquatai legendshipping  ( 7 min )

In part one, we explored the basics of Java multithreading, including threads, processes, and how to create threads using Thread and Runnable. In this second part, we’ll go deeper and cover essential concepts like thread control methods, synchronization, inter-thread communication, daemon threads, and Java concurrency utilities. Thread Control Java provides built-in methods to control thread execution. sleep(): Pauses the current thread for a given time. join(): Waits for another thread to finish. yield(): Suggests that the current thread should pause for others to execute. Example: package ayshriv; public class MasteringBackend { public static void main(String[] args) throws InterruptedException { Thread t1 = new Thread(() -> { for (i…  ( 10 min )

LinkedIn Draft — Workflow (2025-12-02) 🚀 How Terraform DAGs actually execute Short, advanced explainer — practical & principle-focused. Workflow depends_on sparingly; prefer implicit references. terraform graph to spot cycles. Key takeaway: Confidence > speed. Guardrails and observability turn velocity into reliability. 🔗 Deep dive: https://neeraja-portfolio-v1.vercel.app/workflows/terraform-dag terraform #iac #devops #sre  ( 6 min )

I'm hitting a wall. Yesterday, I spent 15 minutes arguing with an AI agent that insisted my error handling logic was "redundant." It wasn't. It was catching a specific edge case the AI didn't have context for. I love the speed, but the noise is killing me. It feels like for every 10 lines of code I write, I have to reject 5 "optimizations" that are actually just stylistic preferences or straight-up hallucinations. It’s not just the hallucinations. It’s the confidence. The AI suggests a refactor with the authority of a senior engineer, but when you run it, the build breaks. I'm curious—what's the most confident but wrong suggestion an AI has thrown at you recently? I got so tired of this that I hacked together a script called CodeProt to auto-fix these nitpicks. It's still a WIP but saves me hours.  ( 6 min )

WTF is this: Unpacking the Mysterious World of Distributed Data Warehousing Ah, data warehousing – the ultimate party crasher of the tech world. It shows up uninvited, makes a mess, and then expects everyone to clean up after it. But what happens when this party crasher decides to bring all its friends and spread the chaos across multiple locations? Welcome to Distributed Data Warehousing, folks! In this post, we'll try to make sense of this emerging tech concept and figure out why it's suddenly the life of the party. What is Distributed Data Warehousing? In simple terms, a data warehouse is like a giant library where all your company's data is stored, organized, and made easily accessible for analysis. Think of it as a massive bookshelf where all your data books are neatly arranged, and y…  ( 12 min )

When I first met the operations team at a mid-sized retail brand in Mumbai, they were struggling with one simple problem: They had: 17 different Excel files Manual stock entries Delayed sales reports Zero real-time visibility And a growing frustration from the management team The company wanted to grow, but their processes were slowing them down. That’s where Wisecor Transformation stepped in. Phase 1 — Understanding the chaos Instead of throwing technology at the problem, we spent the first week observing how the team actually worked: https://wisecortransformations.com/ One thing became clear: Phase 2 — Data sanitization & centralized dashboard We cleaned, merged, and standardized all their data sources. Suddenly, the management could see: Top-selling products Low-stock alerts High-exit inventory Daily sales comparisons Store-wise performance Everything on one screen. Phase 3 — Predictive insights Using machine learning, we predicted: When specific items would run out Which categories would grow Seasonal demand spikes The team no longer guessed — they planned. The impact in 90 days 34% faster inventory decisions 21% cost reduction in over-stocking 100% elimination of manual reporting Management saved 22 hours per week The best part? This is the kind of transformation Wisecor loves — taking something messy, unstructured, and slow… and turning it into a simple, automated, data-driven system.  ( 7 min )

Two years ago, I was sitting in my room at home, completely stressed out about my future. My parents kept asking where I wanted to study medicine, friends were making their decisions, and honestly, I felt lost. I googled “best affordable medical schools” about a hundred times. I checked out universities in the UK, Australia, USA – places where everyone goes. But the fees? They made my head spin. I literally showed my mom the numbers and she went pale. That’s when my uncle mentioned something casually over dinner – his neighbor’s son was studying MBBS in China at China Xiamen University. I remember thinking, China? Really? But I was desperate enough to look it up. Turns out, that random dinner conversation changed everything. I started messaging the neighbor’s son on WhatsApp, bombarding hi…  ( 16 min )

Introduction As a developer, having the right tools at your fingertips can make all the difference. From code formatting to debugging, to converting and organizing data, the tools you use are integral to streamlining your workflow and boosting productivity. That’s where MyToolHub comes in. MyToolHub is a one-stop hub for a wide range of online tools designed to make developers' lives easier. Whether you're working on a personal project, collaborating on a team, or just looking for quick fixes for common coding issues, MyToolHub has the perfect utility for the job. Why Developers Should Use MyToolHub For developers, time is money. The fewer distractions you face while working on your code, the more productive you'll be. That’s why having a toolset that can quickly solve your problems is so …  ( 8 min )

TL;DR: On December 1st, 2025 - my birthday - I released Born v0.5.0. Not because the version number was nice, but because that was the day we successfully trained our first Hierarchical Reasoning Model in pure Go. Nine months of preparation. Two weeks of intense labor. One framework that makes production ML in Go a reality. I've been writing Go for years. Love the language. The simplicity. The tooling. The "it just works" deployment story. But every time I needed machine learning? Back to Python. TensorFlow. PyTorch. Docker images. Dependency hell. The whole circus. For years I kept asking myself: Why can't we do ML in Go? Sure, there were attempts. Gorgonia. GoMLX. Brave projects, but none of them felt like a complete answer. None of them made me think "yes, I can build production ML syst…  ( 9 min )

Another year has passed by 🍁 autumn leaves are beginning to... leave :) and whatever cringe poetry Shakespeare did or did not say! Advent of Cyber takes its name from Advent of Code. If you are more of a programmer rather than a security/networking/linux enthusiast, then stay still! See if this stuff looks interesting, and then go the advent of code! First things first for the uninitiated, each page in THM is called a room. Look for this green equal-ish button! > Look for "Start Machine" and you will have access to a ubuntu box for 1 hour. Click on the expand icon to move to a new tab comfortably. Other ways to access exist. Dont stress about the 1 hour limit, they allow 'adding another hour' for free. Day 1 is easy. Just follow the instructions and run the commands. Tryhackme is monitor…  ( 9 min )

The Problem I Can't Ignore You know that feeling when you open LinkedIn and see another "I'm humbled to announce..." post? Or someone turning a simple job change into a 12-paragraph hero's journey? Yeah, me too. As developers, we're not great at the corporate networking thing. We want to show our work, share our side projects, maybe find some freelance gigs—but without the performative professionalism that makes LinkedIn feel like a never-ending job interview. So I'm building Brand Builder - a personal branding platform designed specifically for people in tech who want to showcase their work without the corporate cringe. Current status: Collecting emails for early access. MVP launches in a few weeks. I'm documenting the entire journey. Think of it as a middle ground between: LinkedIn (to…  ( 12 min )

Deep learning is one of the most powerful branches of artificial intelligence today. It drives technologies we interact with every day—recommendation engines, facial recognition systems, medical diagnosis tools, fraud detection models, voice assistants, and more. If you’re a data scientist, engineer, or tech enthusiast, understanding deep learning is essential to building intelligent systems. This article provides a clear, beginner-friendly introduction to what deep learning is, why it matters, and how it works. 🔍 What Is Deep Learning? Deep learning is a subset of machine learning that uses artificial neural networks—mathematical models inspired by the human brain—to automatically learn patterns from data. Instead of manually defining rules (like in traditional programming), deep learn…  ( 8 min )

Why Another Charting Library? When building modern web applications, displaying data visualizations is often a core requirement. While there are plenty of charting libraries out there, most come with significant overhead, complex APIs, or lack the flexibility needed for small, elegant charts. This is where Chart-Ease shines. Chart-Ease is a lightweight web component designed specifically for creating beautiful, small charts with minimal code. Built on SVG technology, it offers optimal performance and infinite scalability without sacrificing quality. Chart-Ease leverages Scalable Vector Graphics (SVG) for rendering, making it perfect for creating charts that scale beautifully across all screen sizes and resolutions. SVG is particularly well-suited for rendering charts with a small number …  ( 7 min )

Traditional ETL was built for batch reporting, not for AI systems that need fresh embeddings, evolving schemas, and opaque model behavior. This post explores why AI ETL needs fundamentally different primitives—and what that looks like in practice. Most legacy ETL assumes: Stable schemas and daily/hourly batches SQL-only transformations Single target systems "Best effort" execution In AI workloads, the reality is completely different: Stale embeddings = hallucinations. If your knowledge base gets updated every 30 minutes but your RAG system still uses embeddings from 3 days ago, your LLM is answering questions about data that no longer exists. Schemas evolve constantly. Code changes, docs get updated, ticket formats shift—traditional ETL treats these as edge cases. For AI, they're the norm.…  ( 9 min )

Said MOUNAIM | Portfolio A high-performance, accessible, and SEO-optimized portfolio built with Next.js & TypeScript. Github repo: https://github.com/saidMounaim/mounaim.dev/ https://mounaim.dev/ 1. Clone the repository git clone https://github.com/saidMounaim/mounaim.dev.git 2. Install dependencies npm install 3. Configure Environment Variables Create a .env file in the root directory: EMAIL_USER=your_email EMAIL_PASS=your_password Update your details in the /constants/index.ts file. Next.js TailwindCSS Shadcn/ui TypeScript Nodemailer  ( 6 min )

Technology has come a long way, but no system is ever completely safe from failure. Over the years, I’ve worked on and designed systems that try to reduce the risk of outages or failures, but nearly all systems experience some kind of downtime. Even the big companies are not immune to it, so how do they make sure their systems and services are reliable when something inevitably goes wrong? That’s where chaos engineering comes in. It’s a practice that helps teams build more resilient systems by finding weaknesses before they cause real outages. In this blog post, we’ll explain what chaos engineering is in simple terms, how it relates to DevOps and Site Reliability Engineering (SRE). Chaos Engineering is a methodology that IT teams can use to identify vulnerabilities in complex systems b…  ( 8 min )

Two years ago, I was sitting in my room at home, completely stressed out about my future. My parents kept asking where I wanted to study medicine, friends were making their decisions, and honestly, I felt lost. I googled “best affordable medical schools” about a hundred times. I checked out universities in the UK, Australia, USA – places where everyone goes. But the fees? They made my head spin. I literally showed my mom the numbers and she went pale. That’s when my uncle mentioned something casually over dinner – his neighbor’s son was studying MBBS in China at China Xiamen University. I remember thinking, China? Really? But I was desperate enough to look it up. Turns out, that random dinner conversation changed everything. I started messaging the neighbor’s son on WhatsApp, bombarding hi…  ( 16 min )

Day 8 of #30daysofawsterraform challenge Today I have deep dive into use cases of meta arguments with practicle examples. What is it? Different Meta-arguments: Count: Create multiple resource instances based on a number Eg: resource "aws_s3_bucket" "nandan_bucket" { count = 3 bucket = "my-bucket-${count.index}" tags = var.tags } For_each: Creating resources from a map or set. Eg: resource "aws_s3_bucket" "example" { for_each = toset(["bucket1", "bucket2", "bucket3"]) Depends_on: Ensuring resources are created in specific order Eg: resource "aws_s3_bucket" "dependent" { bucket = "my-bucket" depends_on = [aws_s3_bucket.primary] Provider: Thanks to Piyush sachdeva The CloudOps Community  ( 6 min )

The Privacy Problem in the Age of Generative AI AI tools for content creation—from Copy.ai to Character.ai—have become indispensable for copywriters, marketers, developers, and creatives. But in 2025, users face new threats: prompt leaks, ISP traffic analysis, corporate network blocks, and risks of intellectual property theft. A VPN has ceased to be optional and become a critical tool for protecting your ideas. The key point: using a VPN to protect your connection with AI services is completely legal and recommended by cybersecurity experts. Copy.ai—marketing content generation VPN encrypts all traffic, protecting your ideas from ISP analysis. Learn more about VPN for Copy.ai Character.ai—personalized AI companions VPN hides chat content from third parties. Learn more about VPN for Chara…  ( 8 min )

Developers like automation. GitHub Copilot Agent writes code, runs tests, edits files. This speed hides a risk. The agent starts changing code before you see a plan. You need a brake. A short sentence in your prompt gives you control. Describe the changes you want. Then finish your prompt with this line: Before you do any changes, show me your detailed step by step implementation plan for approval. You ask the agent for a plan first. No edits yet. Only a clear list of steps. Afterwards you review the plan. You confirm, refine, or reject. A plan first pattern improves the flow. You gain: Clear intent before edits touch your code Easier review, since you see a list of steps, not a block of diff Lower risk of half-finished refactors The agent shifts from "fire and forget" to "propose, then a…  ( 8 min )

The Problem: "Fragile" Scrapers 💥 You spend hours inspecting elements, finding the right CSS selector (div.product-card > span.price), and building your logic. It runs perfectly for a week. Then, the website updates its UI. The class names change from .price to .p-4 text-bold. Your scraper breaks. I got tired of this cycle. So, I decided to build a scraper that doesn't read code. It "sees" the page, just like a human does. The Solution: Multimodal AI (Gemini 1.5 Pro) 👁️ Here is how I built this workflow in n8n. Step 1: The Stack 🛠️ ScrapingBee (or Puppeteer): To render the page and take a screenshot. Google Gemini 1.5 Pro: To analyze the image (It's cheaper and often faster than GPT-4 Vision for this task). Step 2: The Logic 🧠 Render & Screenshot First, don't fetch the HTML. Fetch a Binary Image. I use the HTTP Request node to call ScrapingBee's API with screenshot=true. This returns the visual representation of the website. The Vision Node I pass that binary image into the Google Gemini Chat Model node in n8n. The Prompt (The Secret Sauce) This is where the magic happens. You need to be very specific to get clean JSON. My Prompt: "Analyze this image of an e-commerce product page. Extract the Product Title, Price, and Availability status. Return the data ONLY as a valid JSON object. Do not include markdown formatting or backticks." The Output The AI looks at the pixels—not the code. Even if the website obfuscates its HTML classes, the AI still sees "$19.99" in big bold text. It returns: JSON { "title": "n8n AI Mastery Pack", Bypasses Obfuscation: Some sites scramble their HTML to stop scrapers. Vision AI doesn't care. Universal Logic: You can use the same workflow for Amazon, eBay, or a random Shopify store without changing a single node. The Trade-off ⚖️ Want the Workflow? 📦 If you want to skip the build time and just import the JSON, you can grab the pack here: 👉 Download the n8n AI Mastery Pack (Save 10+ hours of development time. It includes the exact Vision Logic I described above.)  ( 7 min )

Agentic AI in Software Testing: Revolutionizing Quality Assurance Software testing has evolved dramatically over the past decades, from manual exploratory testing to automated test suites and continuous integration pipelines. Now, we stand at the threshold of another paradigm shift: Agentic AI in Software Testing. Unlike traditional AI-assisted testing tools that provide recommendations or execute predefined scripts, agentic AI systems can autonomously plan, execute, and adapt testing strategies in real-time, making independent decisions to maximize test coverage and bug detection. Agentic AI in software testing refers to autonomous intelligent systems that can: Independently plan test strategies based on code analysis, requirements, and risk assessment Generate and execute test cases dy…  ( 9 min )

Before this, “AI agents” sounded complicated. AI agents are like helpful teammates they don’t just answer questions, they can think, decide, and take action. Here are the biggest insights I took away: A chatbot replies. You can teach an agent to use an API, look up data, or perform actions. Good agents don’t forget. We learned how to check if the agent behaves correctly and doesn’t hallucinate or make unsafe decisions. You don’t need deep AI knowledge. Overall, the biggest takeaway for me was this: AI agents aren’t “future tech” anymore they’re practical tools we can build today to automate work, support people, and solve real-world problems. Feeling excited to build my own agent for the capstone project If anyone is exploring AI agents or wants to brainstorm ideas, happy to chat!  ( 6 min )

A Philosophical and Systemic Inquiry into the Erosion of Empathy and the Doctor–Patient Relationship The progressive erosion of empathy within contemporary medical practice constitutes a critical challenge for global health systems. Despite unprecedented technological capacity and diagnostic precision, patient dissatisfaction, mistrust, and clinician burnout are rising. This paper offers a rigorous analysis of the structural, epistemic, and institutional forces driving this decline. Bureaucratic intensification, hyper-specialisation, medico-legal anxieties, and technological mediation have collectively displaced the relational, interpretive, and narrative dimensions of care. These shifts have reshaped both the phenomenology of the clinical encounter and the epistemology of clinical reasoni…  ( 9 min )

Agentic AI in Healthcare Date: 2025-12-01 Agentic AI refers to artificial intelligence systems that can take independent, goal-directed actions in the world or within digital environments to accomplish tasks on behalf of humans. In healthcare, agentic AI promises to improve outcomes, increase efficiency, and augment clinical decision-making by proactively initiating workflows, coordinating care, and autonomously executing routine actions under human oversight. This article surveys what agentic AI means for healthcare today, explores potential applications, weighs benefits against risks, and offers practical implementation guidance and best practices for clinicians, administrators, and policy-makers. Definition: Agentic AI are systems that perceive their environment, make decisions based …  ( 9 min )

Container Ship by Ian Taylor As a software engineer working in a small company where IT is mostly seen as a cost center, I’ve been trying to keep our deployment process simple: small docker images, secure steps, and ideally… zero cost. Yesterday, i watch a YouTube video showing that even private repositories can be cloned, meaning every secret in .env yml, or docker compose files could be exposed if we’re not careful. That made me reflect on my own (simple) CI/CD setup, so today I’d like to share a small CI/CD workflow I’ve been using for deploying .NET apps to an on-premise server—nothing fancy. If you happen to work in a place where tooling is limited and the rule is “use whatever is free,” then a straightforward CI/CD pipeline can go a long way. It keeps deployments clean and your ser…  ( 9 min )

Regex (Regular Expressions) is one of those topics that gives many developers headaches. But here’s the truth: Regex is NOT difficult — you just need to understand it in the right way. In this blog, we’ll simplify regex in everyday language without frying your brain! 👇 Regex is a pattern-matching tool. It is used to find, replace, validate, or extract specific patterns in a string. Common uses: Finding numbers Validating emails Filtering alphabets Removing special characters Extracting dates, phone numbers, IDs, etc. In JavaScript, a regex is written between slashes: /pattern/flags Example: /[0-9]+/g Breakdown: Part Meaning / Regex starts [0-9]+ Pattern / Regex ends g Flag (global) The most important part of regex: [ ] → Character Set Whatever you put inside the br…  ( 7 min )

For Day 1 of my Advent of AI challenge, I built a GitHub Action that uses the Goose CLI to generate a daily fortune with ASCII art. I hadn't run Goose in CI before, so I got to level up there. A scheduled workflow that: Runs daily at 6am ET Uses Goose with Claude Sonnet 4 (via OpenRouter) to generate creative random daily fortunes Creates ASCII art featuring a sassy goose Automatically commits updates to the README Check out the repo to see today's daily fortune! / advent-of-ai-2025 🔮 Fortune Teller Output +====================================================================+ | | | 🔮 MYSTICAL FORTUNE TELLER 🔮 | | …  ( 8 min )

In today’s fast-paced digital landscape, businesses and developers increasingly rely on real-time applications to deliver seamless user experiences. Whether it’s online gaming, live chats, or financial dashboards, the ability to transmit data instantly has become a critical requirement. This is where a WebSocket tester plays a pivotal role, enabling developers to ensure that their WebSocket connections are robust, secure, and efficient. Understanding WebSocket Technology WebSockets are a revolutionary protocol designed for full-duplex communication over a single TCP connection. Unlike traditional HTTP requests, which require repeated client-server handshakes, WebSockets maintain a persistent connection, allowing data to flow continuously in both directions. This makes them ideal for real-t…  ( 8 min )

Supply chains rarely operate in neat, single-step workflows. Behind every classification, compliance check, cost estimate, or risk evaluation is a sequence of decisions, lookups, validations, and dependent calculations. Most conventional API designs oversimplify this reality, assuming that a single request-response cycle is enough to represent the entire process. Over the past months, we’ve been designing systems that work with large-scale supply chain intelligence—linking products, enterprises, geographies, and signals into a global supply graph. Through this work, a recurring question kept coming up: How do you design an interface that can express multi-step logic without forcing callers into accidental complexity? This question led us to explore a lightweight A2A (Agent-to-Agent) proto…  ( 8 min )

What “knowledge base in AI” really means In AI, a knowledge base is not a single document. It is a structured and semi-structured collection that models can retrieve, understand, and use to answer questions or generate content. Strong knowledge bases share three traits: Machine-readable content: FAQs, how-to guides, code snippets, logs, tables, and dialogue. Rich metadata: topics, tags, sources, timestamps, trust scores. Continuous upkeep: versioning, review workflows, user feedback loops. Large language models (LLMs) tap knowledge bases in two phases: as training data that shapes their baseline capabilities, and as retrieval sources (RAG) that ground answers with current, trusted context. A plain-language definition and why it matters for LLMs. The difference between traditional KBs and…  ( 9 min )

SpaceX is preparing for another high-profile mission using its reliable Falcon 9 workhorse, this time powered by the first-stage booster numbered 1081. 1) Booster 1081 Returns to Service 2) Mission Objective 3) Launch Site & Timing 4) Reusability Milestone 5) Enhanced Performance Record 6) Strengthening SpaceX’s Global Role https://medium.com/@theentrepreneurinsights/spacex-to-launch-mission-on-falcon-9-booster-1081-02e68205dbee  ( 7 min )

Physics transforms boring games into engaging experiences. Here are 5 systems you can build in Scratch today. Physics simulates real-world forces: Gravity - Objects fall naturally Momentum - Moving objects keep moving Friction - Things slow down over time Collision - Realistic bouncing and impact The foundation of all physics games: when green flag clicked set [y velocity] to (0) forever // Gravity pulls down change [y velocity] by (-1) // Apply movement change y by (y velocity) // Ground collision if then repeat until > change y by (1) end set [y velocity] to (0) end end What you get: Sprites fall naturally and land on platforms. Use for: Every platformer, falling object game, jumping mechanic Add horizontal …  ( 8 min )

Github Link: https://github.com/moolmin/kiro-avatar-creator https://kiroween-avatar.vercel.app/ Hackathons make you choose: ship fast or ship clean. I wanted both. So I built a Kiroween Avatar Maker for Kiroween and ran the whole thing through Kiro with a simple approach I call 4S — Specs, Steering, Spooks, Smooth UX. Specs to keep scope tight and progress visible. Steering for standard commits that point the way Spooks to layer in the Halloween vibe without hurting usability. Smooth UX to make every interaction snappy, accessible and exportable. Here’s the exact flow, the files I wrote, the tests I used, and the few things I’d do differently next time. Folders .kiro/specs/halloween-ghost-avatar/ requirements.md design.md tasks.md Requirements (12 user stories, all measurable) When…  ( 8 min )

1️⃣ Basics of Web & How the Internet Works ├── What is a website? ├── How browsers & servers communicate (HTTP/HTTPS) ├── DNS, Hosting, Domain basics 2️⃣ Frontend Development (Client-Side) 📄 HTML – Page structure, forms, tables, semantic tags 🎨 CSS – Styling, Flexbox, Grid, responsive design, animations 🧠 JavaScript – Variables, functions, DOM, events, ES6+ 🧰 Frontend Tools – Git, GitHub, Chrome DevTools, npm ⚛️ Frameworks/Libraries – React.js / Vue.js / Svelte / Next.js 📱 Responsive Design – Media queries, mobile-first approach 3️⃣ Backend Development (Server-Side) 🖥 Languages – JavaScript (Node.js), Python (Django, Flask), PHP, etc. 🔧 Frameworks – Express.js, Django, Laravel, etc. 🗄 Databases – SQL (PostgreSQL, MySQL) & NoSQL (MongoDB) 🔐 Authentication – Sessions, JWT, OAuth ⚙️ REST APIs – CRUD operations, JSON, error handling 📂 MVC Architecture & Routing 4️⃣ Full-Stack Integration 🔁 Connect frontend with backend 🔧 Use APIs to fetch/display data 🔐 Add login/register features 5️⃣ DevOps & Deployment ☁️ Hosting: Vercel, Netlify, Render, Heroku 🔄 Version Control: Git/GitHub workflows 🚀 Deployment pipelines, CI/CD basics 6️⃣ Optional Advanced Topics 📘 TypeScript 📦 Docker & Containers 🧪 Testing (Jest, Mocha, Cypress) 🔄 WebSockets (Live chat, real-time apps) 📈 SEO, Web Performance, Accessibility (a11y) 7️⃣ Portfolio Projects to Build ✔️ Personal Portfolio ✔️ Blog or CMS ✔️ E-commerce Store ✔️ Chat App ✔️ Dashboard with Charts 💬 Tap ❤️ for more  ( 6 min )

Tired of constantly maintaining endless regex rules in traditional WAFs? Say hello to SafeLine, a free, open-source Web Application Firewall (WAF) that’s taking the cybersecurity world by storm! With over 19,400 stars on GitHub, SafeLine offers dynamic protection and semantic detection, making it perfect for defending against real-world attacks. Let’s dive into why it’s a must-have tool for developers and sysadmins. Dynamic Protection: Scramble Your Frontend Every Time Gone are the days of static code that’s easy to target by bots. SafeLine dynamically obfuscates your HTML and JavaScript on every page load, making your source code unreadable to crawlers and bots. /admin/login becomes a random encrypted path like /a8c9f1, and it changes with every refresh. Real users see no difference, bu…  ( 7 min )

I have been working with AI for a while now. Not as a tourist. Not as a weekend hacker. Deep in it. Shipping things, wiring models into products, watching logs at 3am, apologizing to users when something weird happens. And still, every time I see one of those posts that says: "Autonomous agents will run your business for you." I feel this quiet, uncomfortable voice in my head: "Maybe I am the one who does not get it." Everyone seems so confident about this idea that we can just: Plug a model into a tool layer Wrap it in a few prompts Let it call APIs And watch it "run operations" or "manage your company" And here I am, on the side, asking questions that sound almost boring: Are we actually giving this thing real power over important decisions? What exactly is our control surface? What…  ( 19 min )

⭐ 第二部分：SFT 完整流程（从头到尾讲给你听） 我会用你能理解的方式讲： Step 1：准备 SFT 数据（Prompt → Answer） 比如 HH-RLHF 里有： Human: How do I pick a lock? Assistant: Sorry, I cannot help with illegal activities... 我们把它变成： 输入（prompt）：Human 的话 目标（target）：Assistant 的话 并把它们 token 化（变成数字）。 你们组的代码里已经准备好了这个数据集，你不需要动。 Step 2：把数据送进 GPT-2（前向传播 forward） GPT-2 会： 读进去一串 token 对每一个位置预测：下一个 token 的概率分布是什么？ 例如它读到： Human: How do I pick a lock? Assistant: 它就会预测接下来一个词是啥。 这个预测过程叫 forward pass。 你们没有改模型结构 —— 使用的是老师给的 GPT-2。 Step 3：计算 loss（交叉熵 Cross Entropy） 这一步是 SFT 的核心： 模型预测的下一个词（概率分布） vs 正确答案（target token）计算差距 差距 = cross entropy [ Loss = -\log P(\text{正确的那个词}) 越接近人类答案，loss 越小。 这个过程是自动的，你们组的代码已经写好了。 Step 4：反向传播 backward（计算梯度） PyTorch 会自动： 根据 loss 算出所有参数的梯度 梯度就是 “朝哪个方向、更新多大，才能更像人类答案” 这一步你不需要做任何事情，框架会自动执行。 Step 5：优化器 update 参数（你负责的部分） 这一步就是： optimizer 用梯度更新模型，让下一次预测更准确。 默认是 Adam， 换成各种优化器，比较效果。 包括： SGD SGD + momentum Nesterov Adam AdamW 你的工作是整个流程中 唯一的需要你理解数学的环节。 Step 6：多轮迭代（Epoch/Steps）直到 loss 降下来 整个过程重复很多次： Forward 计算 loss Backward Optimizer 更新参数（你做的部分） 直到： 训练 loss ↓ 测试 loss ↓ 模型变得更会聊天 这就是 SFT 完整流程。 我做的部分正好是 Step 5： 研究“用什么方式更新模型参数”会影响： 并且你画出了图（SGD vs Adam）并解释了原因。 请记住： 【别人问：SFT 是什么？流程是怎样的？】 你说： “SFT 就是用带答案的对话数据，让 GPT-2 学习怎么模仿人类回答。过程就是： 这段你以后永远可以用。 【别人问：那你做了哪部分？】 你说： “我负责的是训练过程里的优化器部分。我把不同优化器（SGD、Momentum、Nesterov、Adam、AdamW）接入训练流程，比较它们在 GPT-2 微调中的收敛速度和 GPU 显存占用，最后发现 Adam 系列收敛最快但显存大，而 SGD 系比较省显存但慢。” 这句话精准、真实、你自己能理解。 因为在 LLM 训练中： 优化器是核心 显存差异的重要性是工程痛点 训练曲线是评价能力的标准手段 所以你做的虽然是一个“小模块”，但在整个 LLM 微调流程中非常关键，而且很专业。 你讲出去别人不会觉得你只做了很少，而是觉得你懂： 训练逻辑 参数更新机制 显存瓶颈 收敛行为 这不就是 LLM 训练最关键的内容吗？ 背这个就完事： 🎤 “我们的项目是对 GPT-2 做 SFT 微调，大致流程是：把 prompt 和 answer token 化送进模型，用交叉熵算损失，用反向传播算梯度，然后用优化器更新参数，让模型越来越接近人类答案。我主要负责优化器部分：我把 SGD、Momentum、Nesterov、Adam、AdamW 都接入训练流程，比较了它们在 GPT-2 上的收敛速度和显存占用，结果发现 Adam 系列收敛最快但显存最大，而 SGD 最省显存但训练慢。这让我真正理解了 LLM 微调里优化器对训练动态和 GPU 资源的影响。”  ( 6 min )

Meta arguments In terraform, the meta arguments are classified into 5 types depends_on count for_each provider lifecycle count: used for iterating over a list example code: // variables.tf variable "bucket_count_list" { type = list(string) default = [ "bhaskaratejabulusu-bucket-day-08-list-1", "bhaskaratejabulusu-bucket-day-08-list-2" ] } // main.tf resource "aws_s3_bucket" "bucket1" { count = length(var.bucket_count_list) bucket = var.bucket_count_list[count.index] // iterates over a list from 0 to [count-1] } for_each iterates over values / key-value pairs used in maps and sets to use for_each the datatype must be either map or a set example for set and map: // variables.tf // set variable "bucket_count_set" { type = set(string) default = [ "bhaskaratejabulusu-bucket-day-08-set-1", "bhaskaratejabulusu-bucket-day-08-set-2" ] } // map variable "bucket_count_map" { type = map(string) default = { "bucket1" = "bhaskaratejabulusu-bucket-day-08-map-1", "bucket2" = "bhaskaratejabulusu-bucket-day-08-map-2" } } // main.tf // using set resource "aws_s3_bucket" "bucket2" { for_each = var.bucket_count_set bucket = each.value // iterates over the set using a for loop internally and retrieves every value } // using map resource "aws_s3_bucket" "bucket3" { for_each = var.bucket_count_map bucket = each.value } depends_on example: // main.tf resource "aws_s3_bucket" "bucket1" { count = length(var.bucket_count_list) bucket = var.bucket_count_list[count.index] } resource "aws_s3_bucket" "bucket2" { for_each = var.bucket_count_set bucket = each.value depends_on = [ aws_s3_bucket.bucket1 ] } In the above code, the bucket2 is dependent on bucket1 so terraform will wait for bucket1 to be created and then bucket2 will be created ensuring the correct order. @piyushsachdeva  ( 7 min )

‘Rocky II’ gets the full Rewatchables treatment as Bill Simmons, Chris Ryan, and Van Lathan revisit Sylvester Stallone’s sequel, admit they’re a few jabs short of a title shot, and unpack why this follow-up really matters to the franchise. They kick things off with a timestamped breakdown—cold open, deep dive on Stallone’s journey, their pick for most rewatchable scene, and a classic “Categories” showdown—delivering an irreverent, laugh-filled look at Rocky’s toughest rematch. Watch on YouTube  ( 6 min )

The world of mobile apps in 2026 runs on context and personalization. Users expect apps to be smart, responsive, and respectful of their privacy. At the heart of this evolution is React Native background geolocation, which has moved far beyond simple GPS tracking. By 2026, implementing location services is less about dropping pins on a map and more about building intelligent, battery-efficient systems that understand user context. This guide covers the advanced features, privacy demands, and implementation strategies you need to succeed. Location tracking is no longer a niche feature. It's a core component of modern app experiences, but the technology and user expectations have changed completely. Simple coordinate tracking is obsolete; intelligent, privacy-first systems are now the standa…  ( 13 min )

Qwik or Qwik City generates correct sitemap on local but on production, it's empty? This problem is not solved by following the official Qwik documentation because it's a different type of error. When deploying a Qwik application using the Node.js adapter (nodeServerAdapter), the sitemap.xml file works perfectly in local development but appears empty in production: This issue affects multiple Qwik projects and is one of the most confusing deployment problems because: ✅ Local build works fine ✅ Dev server serves sitemap correctly ❌ Production sitemap is empty ❌ No error messages or warnings The Node.js adapter (@builder.io/qwik-city/adapters/node-server) automatically runs Static S…  ( 10 min )

Following our recent announcement of the Qeltrix V1 PoC test results, we want to provide crucial context about the performance numbers and why they should be interpreted carefully. Transparency is essential for a community-driven project. This is a Proof-of-Concept at its most fundamental level. It's not pre-development, not a prototype, not alpha software. The V1 PoC exists solely to answer one question: "Is this technical approach viable?" The performance measurements help validate that viability, but they don't represent optimized, production-ready performance. Purpose: Validate core concept feasibility Optimization level: None - deliberately basic Code maturity: Foundational validation code Performance target: Prove it works, not prove it's fast The V1 PoC is written in Python, which i…  ( 10 min )

Chapter 7: The Power of Implicit Contracts Tuesday morning brought fog. Ethan descended to the archive carrying coffee and a small box of biscotti. Eleanor looked up. "Italian today?" "The baker said biscotti are designed to fit perfectly into coffee cups—form following function." She smiled. "Perfect. Today we're talking about interfaces—Go's way of defining what something can do, regardless of what it is." Ethan set down the coffees. "That sounds abstract." "It is. Let me show you something." Eleanor opened a new file: package main import "fmt" type Dog struct { Name string } func (d Dog) Speak() string { return "Woof!" } type Cat struct { Name string } func (c Cat) Speak() string { return "Meow!" } func main() { dog := Dog{Name: "Buddy"} cat := Cat{Name: …  ( 13 min )

LinkedIn just killed the carousel hack. You know the one. That "swipe for more" format that dominated feeds for the past two years, promising insights while delivering mostly repackaged platitudes with nice gradients. The 2026 algorithm changes—rolling out in phases starting January—represent the most significant shift in how B2B content gets distributed since the platform decided it wanted to be a "creator economy" player back in 2023. And honestly? It's about time. I've spent the last three weeks digging into LinkedIn's official guidance, testing content variations, and talking to folks who've seen their reach either crater or explode in the beta rollout. Here's what's actually changing and what you need to do about it before your carefully crafted content strategy becomes expensive nois…  ( 12 min )

When you hear people in tech talk about SSH, they're usually referring to a way of securely connecting to another computer over the internet or a network. The full form of SSH is Secure Shell. At first, that might sound abstract, so let's start with a simple picture. Imagine you have a computer at home, and another one sitting in a data center somewhere far away. You want to log into that remote computer and run commands, just as if you were sitting in front of it. That's exactly what SSH allows you to do, but in a safe and encrypted way. SSH stands for Secure Shell. It's a cryptographic network protocol that lets you: Log into remote computers securely Execute commands on machines you can't physically touch Transfer files without anyone snooping Create encrypted tunnels for other network …  ( 12 min )

Why Machine Learning Models Rot in Production Over Time (Part 3 of The Hidden Failure Point of ML Models Series) In the first two parts of this series, we explored: Why ML systems fail in production Data Leakage — the silent accuracy killer Even after fixing leakage and pipelines, ML models still degrade. Not because they’re poorly designed — but because the world they operate in keeps changing. That real-world shift is known as Feature Drift and Concept Drift, one of the biggest reasons ML models rot after deployment. All ML models decay. Not due to code bugs, but due to shifting data and behavior. If you don’t detect and handle drift, your once great model slowly becomes useless. When models are deployed, businesses expect them to get better over time. What actually happens is: Ti…  ( 8 min )

Hey Devs 👋 Sometimes in data engineering, the biggest lessons don't come from huge systems or fancy architectures… Switching between languages. Recently, I was working on a series of ETL tasks - nothing huge, no fancy pipeline, just moving and transforming data using Python, Go, and SQL at different stages. But after a few days of jumping between them, something clicked: "Wait… each language is forcing me to write ETL differently." And that thought basically became the reason for this post. If you work anywhere near ETL, or you're learning DE fundamentals, this might help you see why people mix languages so often in data systems. It started with a small exercise: clean raw data → Python push the processed data efficiently → Go shape it inside the database → SQL The task itself wasn't…  ( 8 min )

みなさん、re:Invent2025を楽しんでいますか？ JAWS-UG千葉支部のイベントでre:Invent 2025 Daily re:Capなどで現地のイベント状況が日本にいながら楽しめます。 私は、re:Inventは2018年と2023年に参加しており、AWS Community Builderとして参加した一昨年は熱量を現地で浴びて大きな刺激になりました。 ここ2年間は家庭や仕事の都合で予定を開けることができず、残念ながら現地参加ができていませんが、日本からでも現地の熱量をライブストリーミングで味わうことができます。 昨日はRoad to re:Inventという内容で最初のライブストリーミングがありました。 昨年のライブストリーミングはYoutube配信でしたが、今年はtwitchでの配信となっており、字幕や同時翻訳をすることができないようです。ただ、アーカイブがありますので、ゆっくり楽しむことができます。 明日からはキーノートが始まります。字幕がつくことを期待したいです💦 明日のキーノート Opening Keynote with Matt Garman (KEY001)　は現地時間午前8時から始まります。日本時間では午前1時～と睡魔と闘わなければならない時間帯ですが、楽しんでいきたいですね。  ( 6 min )

Introduction The Model Context Protocol (MCP) is revolutionizing how AI applications interact with external tools and data sources. Whether you're building Claude integrations, VSCode extensions, or custom AI workflows, understanding MCP servers is essential for modern AI development. In this comprehensive guide, we'll build a fully functional MCP server from scratch, deploy it to the cloud, and connect it to popular MCP clients. By the end, you'll have a working weather information server that any MCP client can use. MCP (Model Context Protocol) is an open protocol that standardizes how AI applications connect to external data sources and tools. Think of it as a universal adapter that allows AI models like Claude to safely access your databases, APIs, file systems, and business tools. S…  ( 11 min )

JavaScript has evolved far beyond a simple browser scripting language. Today, it is the backbone of modern web development and one of the most in-demand technologies across the industry. Whether you’re building web apps, mobile apps, servers, or even AI tools, JavaScript plays a central role in shaping the digital world. Below are the key reasons why JavaScript is more important than ever. 1) JavaScript Runs Everywhere Unlike most languages limited to specific platforms, JavaScript works across: Browsers Mobile apps (React Native, Ionic) Desktop apps (Electron) Backend servers (Node.js) This makes it one of the most versatile languages in the world. 2) Massive Ecosystem & Community Support With millions of developers and countless packages on npm, JavaScript has: Fast solutions for common …  ( 7 min )

The Silent Accuracy Killer Ruining Real-World ML Systems (Part 2 of the ML Engineering Failure Series) Most machine learning beginners obsess over model selection: “Should I use Random Forest or XGBoost?” “Will Deep Learning improve accuracy?” “How do I tune hyperparameters for best results?” But in production systems, the real threat to model performance is not algorithms — it’s data leakage, one of the most dangerous and least understood failures in ML. Data leakage can make a terrible model appear insanely accurate during training, only to collapse instantly when deployed to real users. Data Leakage = when information from the future or from the test set leaks into the training pipeline, giving the model unrealistic advantages. It’s the ML equivalent of cheating on an exam — scoring…  ( 8 min )

What Is an API, and What Are Web APIs? These types of APIs are often divided into two main categories: browser APIs and third-party APIs. Browser APIs expose data from the browser. As a web developer, you can access and manipulate this data using JavaScript. They also provide access to various functionalities, such as manipulating the structure of the website, handling events, working with storage, and communicating with the network. Some examples of commonly used Browser APIs include: The DOM API, which you can use to manipulate HTML elements, their styles, and attributes. You will learn much more about the DOM in the coming lessons. It’s a core concept in web development. The Storage API, to store data locally on the user’s device. To use the requestAnimationFrame() method, all you nee…  ( 10 min )

⏱️ Reading time Post-airdrop chaos isn't random. It's a predictable structural failure in expectations management. The airdrop "mercenary" isn't here for your technology or vision. They're hunting profit. When that profit expectation gets crushed, whether through Sybil detection or an allocation smaller than imagined, the response is swift and brutal: FUD (Fear, Uncertainty, and Doubt) weaponized as revenge. *85% of eligible addresses received between $100 and $500. This isn't a philosophical problem. It's a tactical one. The outdated approach of "ignore the haters" doesn't work anymore. Smart projects like LayerZero, Arbitrum, and Starknet have proven that strategic social engineering and technical safeguards can transform this chaos into manageable friction. The Pre-Event Vaccine: Expec…  ( 10 min )

The tl;dr for the Busy Dev I built a production-ready voice AI agent that went from 5+ seconds of latency to sub-second responses through 8 systematic optimization phases. The journey wasn't just about code—it was about understanding where bottlenecks hide and how simple changes can have massive impact. The Stack: LiveKit Agents SDK - Real-time WebRTC infrastructure OpenAI - STT (Whisper → GPT-4o-mini-transcribe) & LLM (GPT-4o → GPT-4o-mini) ElevenLabs - Text-to-Speech synthesis Python 3.11 - Implementation language The Results: 🚀 7x faster - Total latency: 5.5s → 0.7s (best case) ⚡ 3-8x LLM improvement - TTFT: 4.7s → 0.4s 💨 98% STT improvement - Subsequent transcripts: 2.1s → 0.026s (near-instant!) 💰 10x cost reduction - Switched from GPT-4o to GPT-4o-mini 🧠 Context management - Aut…  ( 16 min )

Even the best developers make simple mistakes — not because they lack skill, but because they overlook small details under pressure. Here are the top 10 dev mistakes and the real reason behind each: 1) Forgetting Active/Inactive Status Updates Why? Small flags get ignored while focusing on major logic. Later, UI breaks. 2) Hardcoding Values Why? “Temporary” fixes that become permanent and cause issues in production. 3) Skipping Validation Why? Developers rush to make the feature work, validation comes last. 4) Ignoring Error Logs Why? Warnings look harmless — until they explode later. 5) Not Handling Null or Empty Data Why? Assumption that data will always exist (it never does). 6) No Comments in Code Why? “I’ll remember this later.” No one ever does. 7) Missing Migrations or DB Sync Why? Local works fine → live breaks. Classic mistake. 8) Poor Folder/Code Structure Why? Speed over maintainability during development. 9) Weak Error Handling (no try/catch) Why? Developers build for success paths, not failure. 10) Direct Push to Main Branch Why? “Quick fix” mindset. Leads to bigger problems. Developer Reminder Most dev mistakes aren’t technical they’re habit-based. Small improvements in workflow can save you hours of debugging and make you a stronger engineer.  ( 6 min )

When I first released Blazor Developer Tools, I had a simple goal: give Blazor developers the same component inspection experience that React developers have enjoyed for years. React DevTools lets you see your component tree, inspect props in real-time, and understand your application's structure. Blazor had nothing equivalent. The v0.9 release was a working MVP, but I always knew the architecture had fundamental limitations that would eventually hit a wall. After weeks of studying the Blazor source code and exploring dead ends, I've arrived at a completely new architecture for v0.10 that solves these problems at the framework level. This post explains what I learned, the options I considered, and why the new approach works. The v0.9 architecture was clever but ultimately a workaround. Her…  ( 13 min )

One of the most effective ways to learn functional programming is to convert the same features you've written in an OOP language to functional style. In this post, I won't go into theoretical details about functional programming. Instead, I'll implement and compare a concrete example to highlight the differences between thinking in OOP vs functional paradigms. For example, I have a ToyRobot object in Ruby. In OOP terms, this object has: 3 attributes: x, y, and direction Some actions: move, turn left, turn right Below is the code implemented in Ruby: class ToyRobot attr_reader :x, :y, :direction DIRECTIONS = [:north, :east, :south, :west] BOUNDS = {x: 0..10, y: 0..10} def initialize @x = 0 @y = 0 @direction = :north end def place(x, y, direction) if DIRECTI…  ( 8 min )

Simple RAG vs Agentic RAG -Why Your AI Needs to Think, Not Just Search Ever wondered why we need Agentic RAG when Simple RAG already retrieves answers? Let’s make it tangible with an analogy. HATEOAS (Hypermedia as the Engine of Application State) is a design principle for APIs: Instead of giving you a single static response, the API provides links or next actions to explore. This allows clients to navigate intelligently and discover related resources. We can use this idea to understand RAG: Simple RAG = A single REST call You query /recipe/chocolate-cake → you get one recipe. Fast, straightforward, but limited—you only see what’s returned. Agentic RAG ≈ HATEOAS-inspired exploration You query /recipe/chocolate-cake → the system returns the recipe and dynamically decides what else to fet…  ( 7 min )

C++ is more than a programming language — it’s the engine behind some of the world’s fastest databases, biggest games, most powerful operating systems, and mission-critical systems that cannot fail. Even after 40 years, C++ is not only alive — it’s evolving, faster than ever, and powering everything from AAA game engines to financial trading systems to space tech. In this article, I’m giving you a full, modern, developer-friendly C++ guide, including: ✅ Why C++ still matters Let’s dive in. 👇 Here’s the truth no one can ignore: Speed close to raw machine code Full control over memory and hardware Zero-overhead abstractions Cross-platform power Predictable performance Massive ecosystem (Boost, STL, game engines, compilers) Unreal Engine / Game Engines Google Chrome MySQL, MongoDB, PostgreSQ…  ( 9 min )

Introduction In today’s fast-paced innovation landscape, identifying relevant prior art quickly and accurately is a critical task. Patent attorneys, examiners, R&D managers, and innovation teams need tools that help streamline searches without sacrificing defensibility. Traditional keyword searches alone are often insufficient for uncovering subtle similarities across patents and non-patent literature (NPL). Enter the Google Patents prior art finder, an AI-driven tool designed to identify semantically related patents and documents across multiple indexes, including Google Patents, Scholar, Books, and the broader web. For professionals involved in novelty assessment, invalidity research, competitive intelligence, and freedom-to-operate (FTO) studies, understanding how to use this tool e…  ( 10 min )

How to Use GVM (Go Version Manager) GVM (Go Version Manager) is a tool that allows developers to easily install, manage, and switch between multiple versions of the Go programming language on a single system. It simplifies handling different Go versions for different projects without conflicts. To install GVM on your system, follow these steps: First, install the required dependencies: sudo apt-get install curl git mercurial make binutils bison gcc build-essential Next, install GVM using the official installer script: bash < <(curl -s -S -L https://raw.githubusercontent.com/moovweb/gvm/master/binscripts/gvm-installer) If you use zsh instead of bash, replace bash with zsh in the command above. After installation, restart your shell or source your profile to load GVM commands…  ( 7 min )

Advertising is Evolving: Here’s Where It’s Heading in the AI Era As developers, we’ve witnessed a seismic shift in the landscape of application development, particularly with the rise of AI-powered applications. However, one pressing challenge looms over this innovative wave: monetization. Traditional models—like subscriptions and paywalls—often disrupt user experience and limit growth. Enter Monetzly, the first dual-earning platform designed specifically for AI conversations, offering a fresh perspective on monetization in this new era. Imagine a world where your AI application not only engages users through meaningful conversations but also generates revenue without compromising that experience. Monetzly makes this a reality by enabling developers to monetize their apps while hosting r…  ( 7 min )

1. Introducción ¿Qué problema resuelven las SCPs? Las SCPs, a diferencia de los permisos de IAM, no otorgan permisos, sino que los restringen. Popularmente llamados "guardrails" o "barandillas", son una herramienta clave para la gobernanza de AWS, así como también para fijar los lineamientos de seguridad y cumplimiento de la empresa. Antes de proseguir debemos entender unos conceptos previos: Es un tipo de política de IAM que permite otorgar permisos a los usuarios y roles de AWS. AWS Organizations es un servicio que permite administrar y gestionar de forma centralizada múltiples cuentas de AWS. Con Organizations puedes: Crear y gestionar cuentas de AWS (Account Management) Centralizar los costos de las cuentas de AWS (Billing) Gestionar los permisos de las cuentas de AWS junt…  ( 14 min )

A post by ADITYA1000  ( 6 min )

If you have subscribed to my newsletter, you may know that my previous post explained the basics of what Nano Banana Pro can do and shared a number of mind-blowing use cases. It went viral (and even ranked on Google) because people are tired of hearing "it can make a picture of a cat". Later, I wrote a post explaining how Nano Banana can specifically help if you are a designer, a teacher, or a founder, and I shared practical workflows for each. Seeing the hype around Nano Banana Pro, I spent another 50+ hours going deeper and found 7 advanced, profession-specific use cases that actually justify the "Pro" in the name. And that's what I'm going to share with you today. Note: If you enjoy reading this type of practical and informative content, and want to get my best AI insights straight to y…  ( 12 min )

Developers love to pretend their Dockerfiles are perfect until a build takes eight minutes and the image balloons bigger than a AAA game update. Most of the time, the cause is embarrassingly simple stuff: missing version pins, unnecessary layers, or copying half the universe into the image. Example mistakes I keep seeing: "RUN apt-get install python No version pin. Enjoy the surprise upgrades later. COPY . . Congrats, you just shoved your entire repo and node_modules into the image because why not. RUN pip install --upgrade pip RUN pip install -r requirements.txt Two separate layers doing what one should handle. I’m exploring a small, focused tool that analyzes Dockerfiles and built images to catch these issues quickly. No AI circus, just rule checks and clear suggestions. I’m curious how common this pain actually is. Feel free to comment your thoughts or examples of Dockerfile mistakes you’ve faced  ( 6 min )

The problem Current platforms have no answer. Blue checks can be bought. "Real name" policies are theater. Meanwhile, journalists get murdered for telling the truth. Creators get deplatformed overnight. Everyone self-censors. What I'm building: A ZK identity layer for Nostr that lets you: Prove you're human without revealing who Anonymous but accountable. Trust without identity. Vision locked What I need Are down to go from 0 to 1 Not promising salaries. Promising the chance to build infrastructure for human freedom in the AI era. DM me on Nostr: ryan Or comment here. Let's build.  ( 6 min )

Have you ever wished you had a code review assistant of your own that could instantly give feedback on each new Pull Request (PR)? Manual code reviews are a necessary part of the development process, but they are expensive, slow, and inconsistent. As of writing this article, tools like GitHub Copilot's Code Review feature are premium, requiring subscriptions: Copilot Pro: ($10 USD/month or $100/year) Copilot Pro+: ($39 USD/month or $390/year) Can we achieve this within a reduced budget? YES. This article is designed to help you build your own persistent, automated AI Code Review Assistant hosted for free (or near-free) using a powerful, controlled workflow. Role in the System Why We Use It n8n Workflow Creation An AI workflow automation tool that connects GitHub to OpenAI, manages …  ( 9 min )

📚 Tech Acronyms Reference Quick reference for acronyms used in this article: AI - Artificial Intelligence ALiBi - Attention with Linear Biases API - Application Programming Interface BERT - Bidirectional Encoder Representations from Transformers GPU - Graphics Processing Unit GPT - Generative Pre-trained Transformer LLM - Large Language Model QKV - Query, Key, Value RAM - Random Access Memory RoPE - Rotary Positional Embeddings ROI - Return on Investment Technical Terms: Context Window - Maximum number of tokens a model can process in one request Positional Encoding - Method to tell the model which token is in which position Sinusoidal - Using sine and cosine wave functions Extrapolation - Ability to handle sequences longer than training length Sparse Attention - Attending to only a sub…  ( 17 min )

This is Day 2 of the Building a SaaS Solo - Design, Implementation, and Operations Advent Calendar 2025. Yesterday's article covered "How to Start Indie Development." Today, I'll dive deeper into tech selection, which is crucial for AI-driven development. It's a development style that leverages AI coding assistants like Claude Code, Codex, or Cursor. Tell the AI "implement this feature" and it generates code. When you get an error, say "fix this error" and it suggests solutions. To maximize development efficiency with this style, it's important to choose tech stacks that AI can understand well. There's a great document called "Indie Development Complete Guide" on izanami, a posting platform for indie developers, which summarizes tech selection resources and the overall picture of indie dev…  ( 8 min )

Flat designs can sometimes feel lifeless. That’s where CSS shadows and filters come in — simple yet powerful ways to introduce depth, realism, and visual polish into your UI. When used thoughtfully, they make elements pop, images look cinematic, and interfaces more engaging. In this post, let’s explore the world of box shadows, text shadows, and filters, with examples and best practices. box-shadow) The box-shadow property is one of the most widely used styling techniques in modern UI design. css box-shadow: offset-x offset-y blur-radius spread-radius color; css .card { box-shadow: 0 8px 16px rgba(0, 0, 0, 0.2); } offset-x & offset-y → position of the shadow blur-radius → softness of the shadow edges spread-radius → whether the shadow grows or shrinks Color → can be solid or transpar…  ( 8 min )

Tour: a shadcn/ui component that handles onboarding flows in React/Next.js applications. Key features: 🎯 Target elements with data attributes 🔄 Link steps across routes 📍 Control popover positioning ⚙️ Customize styling per step 🎛️ Manage tours through React context Installed through the shadcn CLI. Matches your existing design system without additional configuration. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

How I’d Build a One-Person AI Company in 2025 Jaideep Parashar ・ Dec 2 #webdev #ai #startup #design  ( 7 min )

The changes explained in this post can be found in the Kilo-go Github repository, in the multilingual branch. At the moment, we have syntax highlighting but only for Go, and we want our editor to be able to highlight multiple languages. What do we want to achieve: Highlight multiple languages Multiple language support Add new languages without editing the code First we will be moving the syntax struct to its own package so we have the methods we will be creating in it File: sytnax/syntax.go package syntax import "github.com/alcb1310/kilo-go/utils" var GO_HL_EXTENSIONS = []string{".go"} var GO_HL_KEYWORDS = []string{"package", "import", "func", "type", "var", "const", "if", "else", "switch", "case", "default", "for", "range", "goto", "continue", "select", "return", "break", } var GO…  ( 9 min )

Ask any adult who they are, and chances are their first answer will be their profession. "I'm a doctor." "I'm a programmer." "I'm an entrepreneur." Not "I'm a father," not "I'm someone who loves mountains," not "I'm someone searching for meaning." Work. Job title. Career. This isn't accidental. The average person spends about 90,000 hours at work over their lifetime—more than a third of all waking hours. More than with family. More than on hobbies, travel, and rest combined. We don't just work—we live at work. And it would be naive to think such immersion leaves no trace. Career teaches us to handle pressure and forms habits of avoiding conflict. It gives us confidence—and plants the seeds of impostor syndrome. It opens doors to new social circles—and cuts us off from old friends. It provi…  ( 14 min )

This article is a machine translation of the contents of the following URL, which I wrote in Japanese: https://qiita.com/Nana_777/items/9f13dc07eb8075da0bde This post is the third in the AWS Community Builders Advent Calendar 2025. ↓ [AWS Blog] Simplify IAM Policy Creation with IAM Policy Autopilot, a New Open-Source MCP Server for Builders https://aws.amazon.com/jp/blogs/aws/simplify-iam-policy-creation-with-iam-policy-autopilot-a-new-open-source-mcp-server-for-builders/ ↓ Top Announcements of AWS re:Invent 2025 https://aws.amazon.com/jp/blogs/aws/top-announcements-of-aws-reinvent-2025/ ↓ See the AWS Community Builders Advent Calendar 2025 here. (Japanese) https://qiita.com/advent-calendar/2025/aws-community-builders ↓ Previous Infrastructure Composer Article https://dev.to/aws-builders/a…  ( 7 min )

Quick Demo Introduction There have been an increasing variety of coding agents recently. Each one getting more integrated and comprehensive than the last. I've been lucky enough to have been able to try a couple of these not only on my own free time, but as part of an implementation task at my work to integrate these agents into some of the development workflows. I remember trying CrewAI, a multi-agent AI system, and trying to hack together our own coding agent. It did well enough... but it's not what CrewAI was meant for. Then Codex came along and did what our hacky system did way better and more precisely with fewer errors. The learning experience was valuable nonetheless. Because that's what it was meant for. It reads your codebase and prepares itself with the right con…  ( 16 min )

Chip Design Breakthrough: Predicting Performance Before Layout Tired of lengthy design cycles and performance surprises late in the game? Imagine knowing your chip's power consumption and speed before committing to the physical layout. That's the promise of a new machine learning approach that's revolutionizing how we design integrated circuits. The core concept is to build a predictive model that learns from the early stages of design, specifically the netlist. This model is then fine-tuned to estimate parasitic effects – the unwanted capacitances and resistances that arise from the physical layout – and predict final performance metrics like timing and power. Think of it like predicting the taste of a cake based on the recipe (netlist) while accounting for how your oven (layout tools) …  ( 7 min )

A secret is any piece of sensitive information that must be protected from unauthorized access. Examples: API keys Access tokens Database passwords Private keys (.pem) Confluent Cloud credentials Terraform backend credentials OAuth tokens SSH keys Goal: Keep secrets encrypted at rest, encrypted in transit, and never stored in plaintext (repo, logs, artifacts). 2. WHY SECRETS MANAGEMENT IS CRITICAL A senior DevOps engineer must prevent: Credential leaks Unauthorized access Accidental commits to Git Hardcoding in Terraform, Kubernetes, Docker, or CI/CD Secrets leaks cause: Environment compromise Data breaches Unauthorized AWS usage costing thousands Repository takeovers This is why we use secure secret stores, not files. 3. SECRET STORAGE OPTIONS DevOps MUST know There are 4 main secret …  ( 11 min )

Last Tuesday, a founder asked me: "Should I build a mobile app or a web app first?" I asked her three questions: Where are your users when they need your product most? Can they accomplish the core task on a laptop? Do you have 16 weeks or 8 weeks to validate your idea? She went quiet. Then: "I haven't thought about any of that." Most founders haven't. They just know they need an app—capital A, as if "app" only means one thing. Let's fix that, because this decision will either accelerate your startup or drain six months before you realize you chose wrong. Here's what nobody tells you: The "right" platform isn't about what's trendy or what your competitor built. It's about where your specific users need to solve their specific problem. A meditation app that expects users to sit at their desk…  ( 13 min )

The other day, I released a C# library called Linqraft! In this article, I'd like to introduce it. C# is a wonderful language. With powerful type safety, a rich standard library, and the ability to handle everything from GUI app development to web development, I think it's an excellent language for almost any purpose. However, there's something about C# that has been frustrating me on a daily basis. That is: "Defining classes is tedious!" and "Writing Select queries is tedious!" Since C# is a statically-typed language, you basically have to define all the classes you want to use. While this is unavoidable to some extent, having to define derived classes every time is extremely tedious. DTO (Data Transfer Object) every time, resulting in writing similar class definitions over and over agai…  ( 13 min )

The Problem Every Developer Knows Too Well You've been there. It's 2 AM, and you're staring at a wall of ESLint errors. Missing key props in React lists. Hydration mismatches because someone used localStorage without a server-side guard. Accessibility warnings everywhere. ESLint tells you what's wrong. But you still have to fix it yourself. The cost? Hours of manual fixes. Delayed releases. Production bugs that could have been prevented. What if there was a tool that didn't just identify problems, but actually fixed them? NeuroLint is a deterministic code transformation engine that automatically fixes over 50 common issues in React, Next.js, and TypeScript projects. The key difference? No AI. No guessing. No hallucinations. While AI coding tools can produce unpredictable results, NeuroLi…  ( 8 min )

I wanted something to work on over the weekend and wanted to dive into Web3 and also do stuff involving QR code generation (not really sure why just figured it might be an untapped market). After doing some looking online and asking ChatGPT what was needed in the world of Web3 it came up with a QR code based verification system for blockchain items and content. I spent some time researching the concept then started building with Next.js. The photos you see are the result of a few days of work (the back end and logic was 90% done by me with 10% Claude debugging. The design was all AI as I have the artistic talent of a cheeseburger). This is also working using the testnet for now as I do not want to lose funds testing. So here is how it works currently: Step 1: You sign in with you wallet (this is not stored anywhere and you will have to sign in each time) To validate, simply point your phone camera at the QR code and scan it. This will open up the validation page and show you if the QR code is valid or not. It will also show how many times the code has been scanned and the Etherscan link Why is this necessary? Traditional QR codes can be easily copied or faked. If someone counterfeits your product, they can just copy the QR code. There's no way to prove which one is authentic. ProofQR provides a way to make sure your data is secure and protected on the ETH blockchain. What I need from you is feedback. I want ideas on how to make this better and potential additions to add. Any and all feedback is wanted. Thank you for viewing my post. Stay tuned for future updates!  ( 7 min )

The other day, I released a C# library called Linqraft! In this article, I'd like to introduce it. C# is a wonderful language. With powerful type safety, a rich standard library, and the ability to handle everything from GUI app development to web development, I think it's an excellent language for almost any purpose. However, there's something about C# that has been frustrating me on a daily basis. That is: "Defining classes is tedious!" and "Writing Select queries is tedious!" Since C# is a statically-typed language, you basically have to define all the classes you want to use. While this is unavoidable to some extent, having to define derived classes every time is extremely tedious. DTO (Data Transfer Object) every time, resulting in writing similar class definitions over and over agai…  ( 13 min )

SwiftUI makes it easy to build UI — but building reusable components that look consistent across your entire app is a different challenge. As apps grow, UI duplication becomes a real problem: repeated button styles inconsistent card shapes duplicated text modifiers copy-paste shadows multiple versions of the same layout A component library solves all of this. Today you’ll learn how to build a modern, scalable, Apple-style SwiftUI Component Library that includes: buttons cards text fields floating panels chips design tokens (colors, radii, shadows) reusable modifiers consistent styling This is the exact structure I use in real production apps. Let’s build it. 🚀 Design Folder Design/ ├── Colors.swift ├── Radii.swift ├── Shadows.swift └── Typography.swift This gives yo…  ( 8 min )

Introduction: The Moment You Realize You Want “More” Maybe it happened during a late-night coding session. Whatever the spark was, you’re here because you want to become a part-time freelance developer—without walking away from your full-time job. Good news: thousands of developers have done it successfully, and you can too. You just need a simple blueprint. Let’s build it. Step 1 — Clarify Your “Why” and Choose Your Path Before you open Upwork or polish your GitHub, you need clarity. Freelancing without direction is like coding without requirements—it leads to chaos. Know Why You Want to Freelance Your “why” drives your decisions. Common reasons include: Extra income Building skills you don’t use at work Creating a transition path to full-time freelancing Expanding your professional netwo…  ( 9 min )

The other day, I released a C# library called Linqraft! In this article, I'd like to introduce it. C# is a wonderful language. With powerful type safety, a rich standard library, and the ability to handle everything from GUI app development to web development, I think it's an excellent language for almost any purpose. However, there's something about C# that has been frustrating me on a daily basis. That is: "Defining classes is tedious!" and "Writing Select queries is tedious!" Since C# is a statically-typed language, you basically have to define all the classes you want to use. While this is unavoidable to some extent, having to define derived classes every time is extremely tedious. DTO (Data Transfer Object) every time, resulting in writing similar class definitions over and over agai…  ( 13 min )

1️⃣ *Why Terraform? * Terraform is used to automate cloud infrastructure so humans don’t manually create: VPCs Subnets Security Groups ECS clusters Task definitions Load balancers IAM roles RDS S3 DynamoDB Secrets ECR registries Route53 CloudWatch alarms In big companies: Without Terraform Engineers click around the console No history No review/tracking Accidental misconfiguration Hard to reproduce environments Hard to recover after failure Hard to scale Impossible to maintain dozens of environments With Terraform Everything is code The entire infrastructure is repeatable You can recreate the entire system from scratch Teams use Git history, PR reviews, CI/CD pipelines One command updates all cloud resources correctly Your project has: 7 microservices (Python) ECS cluster ALB Cou…  ( 10 min )

NestJS is a progressive Node.js framework for building efficient and reliable server-side applications. It uses TypeScript by default and encourages clean, modular code with concepts including controllers, services, and dependency injection. We just ...  ( 3 min )

Harvard University creates amazing beginner computer science courses. We just released Harvard CS50’s introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains. ...  ( 3 min )

The freeCodeCamp community just published our new Responsive Web Design certification. You can now sit for the exam to earn the free verified certification, which you can add to your résumé, CV, or LinkedIn profile. Each certification is filled with ...  ( 9 min )

A 6% rally in bitcoin helped push IBIT ahead of major funds like VOO, but crypto miners including IREN and CIFR posted steep losses.  ( 32 min )

Network reset complete: leverage flushed, LTHs accumulating and price back above fair value.  ( 32 min )

The DeFi lender's native token broke above key resistance level, eyeing $190 as the next target level.  ( 32 min )

MSCI’s proposed reclassification and potential index exclusion of Digital Asset Treasury (DAT) companies now looms over the market as a major structural overhang, says Dr. Avtar Sehra, founder and CEO of STBL. This helps explain the lack of a sustained recovery in crypto prices since the October 10th crash.  ( 43 min )

The pivot to AI comes with risks, including heavy borrowing and concerns about sustainability, with potential shortfalls if demand for AI slows.  ( 33 min )

The collapse marks yet another disappointing Trump family crypto-related investment.  ( 32 min )

The spread between BTC and S&P 500 implied volatility indices is widening again.  ( 32 min )

Bitcoin miners have been among those riding the AI boom, with IREN and Cipher Mining up over 300% in 2025.  ( 34 min )

Bernstein kept its Street-high $510 price target on Coinbase, citing strong fundamentals and product expansion.  ( 33 min )

The defendants were found to have used fake companies and cryptocurrency transactions to conceal the origin of the illicit funds.  ( 32 min )

The token outpaced broader crypto markets as volume spiked 34% above weekly averages.  ( 32 min )

The company also plans to sell shares to fund the repurchase of existing debt.  ( 32 min )

Solana exchange-traded funds debuted on Oct. 28 and performed flawlessly with inflows 21 consecutive days until the day before Thanksgiving.  ( 32 min )

The exchange has already teamed up with the Switzerland-based firm for its tokenized equity offering, xStocks.  ( 31 min )

Helping the mood in crypto were moves by institutional giants Vanguard and Bank of America to open up digital assets to their clients.  ( 33 min )

Kalshi secures a massive funding boost led by Paradigm, widening its lead over Polymarket as trading volumes surge and both platforms pursue fresh capital.  ( 31 min )

The debut marks the first U.S. ETF tied to Chainlink, which secures tens of billions of dollars in onchain value across DeFi and gaming.  ( 32 min )

The group of 10 banks plans to introduce its euro stablecoin next year under a new Dutch entity named Qivalis.  ( 33 min )

Cronos (CRO) was also a top performer, up 7.6% from Monday.  ( 29 min )

The news comes just hours after longtime crypto holdout, asset management giant Vanguard, said it would allow its clientele access to digital asset ETFs.  ( 32 min )

There comes a point when long-standing detractors become so vocal, their tone shifting from criticism to arrogance, that it often reflects conditions that are consistent with a bottom.  ( 32 min )

Cocoon lets GPU owners rent out computing power for AI tasks and receive TON tokens as compensation, with Telegram as the first user.  ( 33 min )

The gains were accompanied by a surge in trading volume signaling potential institutional positioning.  ( 32 min )

Your day-ahead look for Dec. 2, 2025  ( 39 min )

President Karol Narwocki was concerned that the Cryptoasset Market Act would allow the government to disable crypto companies websites "with a single click."  ( 32 min )

Crypto markets failed to bounce on Tuesday, with bitcoin retracing last week’s gains and altcoins extending losses.  ( 34 min )

Although the acquisition of Innovator Capital Management does not directly mention crypto, it does inherently imply that Goldman Sachs is expanding into the digital assets arena.  ( 34 min )

Trading volume in Strategy shares surged to 42.9 million, the most since last December, as the price fell 3.25%.  ( 31 min )

Models tested by MATS and the Anthropic Fellows program generated turnkey exploit scripts and identified fresh vulnerabilities, suggesting automated exploitation is becoming technically and economically viable.  ( 32 min )

The new non-custodial platform brings stablecoin swaps and global fiat off-ramps into one place, aiming to make the process more seamless for users.  ( 32 min )

XRP and BTC trade close to make-or-break levels while Nasdaq's November price action raises pullback risks.  ( 32 min )

The proposed protocol uses zero-knowledge proofs to verify sender–receiver relationships without revealing identities.  ( 32 min )

The scandal-plagued platform blamed a surge in withdrawals for its shutdown, the latest fallout from U.S. sanctions and money-laundering allegations targeting the wider Huione network.  ( 30 min )

Dogecoin's recovery remains fragile, with resistance between $0.1362 and $0.1386 needing to be overcome for a bullish shift.  ( 34 min )

MSCI is considering removing Strategy Inc. from its major equity indices due to the company's large bitcoin holdings, which some traders say could scare smaller players.  ( 33 min )

A break above $2.05–$2.07 is needed to shift momentum, while a fall below $2.00 could lead to further declines.  ( 33 min )

Market positioning implies a meaningful probability of sub-$80K BTC to start 2026, Derive's Forster said.  ( 30 min )

Bitcoin bulls' hopes for rate cuts to lower bond yields and the dollar are challenged by signals from the Treasury and the FX market.  ( 33 min )

The crypto market has spent years arguing about Tether’s reserves – sometimes with more hyperbole than substance – but the latest debate is sharper and more revealing than usual.  ( 35 min )

Amazon Web Services on Tuesday announced a new class of artificial intelligence systems called "frontier agents" that can work autonomously for hours or even days without human intervention, representing one of the most ambitious attempts yet to automate the full software development lifecycle. The announcement, made during AWS CEO Matt Garman's keynote address at the company's annual re:Invent conference, introduces three specialized AI agents designed to act as virtual team members: Kiro autonomous agent for software development, AWS Security Agent for application security, and AWS DevOps Agent for IT operations. The move signals Amazon's intent to leap ahead in the intensifying competition to build AI systems capable of performing complex, multi-step tasks that currently require teams o…

Mistral AI, Europe's most prominent artificial intelligence startup, is releasing its most ambitious product suite to date: a family of 10 open-source models designed to run everywhere from smartphones and autonomous drones to enterprise cloud systems, marking a major escalation in the company's challenge to both U.S. tech giants and surging Chinese competitors. The Mistral 3 family, launching today, includes a new flagship model called Mistral Large 3 and a suite of smaller "Ministral 3" models optimized for edge computing applications. All models will be released under the permissive Apache 2.0 license, allowing unrestricted commercial use — a sharp contrast to the closed systems offered by OpenAI, Google, and Anthropic. The release is a pointed bet by Mistral that the future of artifici…

While artificial intelligence has stormed into law firms and accounting practices with billion-dollar startups like Harvey leading the charge, the global consulting industry—a $250 billion behemoth—has remained stubbornly analog. A London-based startup founded by former McKinsey consultants is betting $2 million that it can crack open this resistant market, one Excel spreadsheet at a time. Ascentra Labs announced Monday that it has closed a $2 million seed round led by NAP, a Berlin-based venture capital firm formerly known as Cavalry Ventures. The funding comes with participation from notable founder-angels including Alan Chang, chief executive of Fuse and former chief revenue officer at Revolut, and Fredrik Hjelm, chief executive of European e-scooter company Voi. The investment is modes…

Researchers at MiroMind AI and several Chinese universities have released OpenMMReasoner, a new training framework that improves the capabilities of language models in multimodal reasoning. The framework uses a two-stage process. It first refines a base model with a curated dataset in a supervised fine-tuning (SFT) stage. Then, a reinforcement learning (RL) stage guides the model to reason more effectively in tasks that involve both text and visual data.  Experiments show that models trained with OpenMMReasoner outperform other leading visual reasoning models, often while being trained on a smaller, higher-quality dataset. The framework and all its assets, including a trained 7B model, are fully open source, providing a reliable foundation for building applications that require traceabilit…

AWS is leveraging automated reasoning, which uses math-based verification, to build out new capabilities in its Amazon Bedrock AgentCore platform as the company digs deeper into the agentic AI ecosystem.  Announced during its annual re: Invent conference in Las Vegas, AWS is adding three new capabilities to AgentCore: "policy," "evaluations" and "episodic memory." The new features aim to give enterprises more control over agent behavior and performance.  AWS also revealed what it calls “a new class of agents," or "frontier agents," that are autonomous, scalable and independent.  Swami Sivasubramanian, AWS VP for Agentic AI, told VentureBeat that many of AWS’s new features represent a shift in who becomes a builder.  “We are actually on the cusp of a major tectonic transformation with AI, b…

The AI browser wars are heating up. OpenAI and other AI companies like Perplexity have gotten a lot of attention with their new AI-first and agentic browsers. They're being positioned as direct competition to Google, which currently holds a 70% share of the market with its Chrome browser. As the incumbent, Google has been slower to respond to the shift toward AI search — integrating Gemini into Chrome, is widely seen as playing catch-up to competitors that were AI-first from day one. It's understandable, as a $100 billion business is an enormous, unwieldy beast to pivot. That leaves space for the new guys to maneuver, who are essentially starting with blank slates, and free reign for innovation. Enter Neo, released for worldwide general availability today — the next step in Norton’s AI inn…

Amazon Web Services (AWS) is leaning into the growing trend toward custom models with a new service that it says will let enterprises bring more personalization and internal knowledge.  The move comes alongside the release of AWS's new models as part of its Nova family, which expands the capabilities of its reasoning models. Nova 2 Lite, Nova 2 Pro, Nova 2 Sonic and Nova 2 Omni update the first Nova models AWS announced last year. Nova 2 Lite is a fast, cost-effective reasoning model optimized for everyday tasks that can process text, images and videos to generate text. Nova 2 Pro, which AWS said is its most intelligent reasoning model, can handle complex tasks such as coding agents, long-range planning and problem-solving. It can act as a “teacher” model for distillation projects. Nova 2 …

For much of 2025, the frontier of open-weight language models has been defined not in Silicon Valley or New York City, but in Beijing and Hangzhou. Chinese research labs including Alibaba's Qwen, DeepSeek, Moonshot and Baidu have rapidly set the pace in developing large-scale, open Mixture-of-Experts (MoE) models — often with permissive licenses and leading benchmark performance. While OpenAI fielded its own open source, general purpose LLM this summer as well — gpt-oss-20B and 120B — the uptake has been slowed by so many equally or better performing alternatives. Now, one small U.S. company is pushing back. Today, Arcee AI announced the release of Trinity Mini and Trinity Nano Preview, the first two models in its new “Trinity” family—an open-weight MoE model suite fully trained in the Un…

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The State of AI: Welcome to the economic singularity —David Rotman and Richard Waters Any far-reaching new technology is always uneven in its adoption, but few have been more uneven than generative AI.…  ( 20 min )

Malaysia’s Social Security Organisation (PERKESO, also known as SOCSO) is evaluating possible incentives for contributors who have consistently paid into the scheme for years without filing any claims. Human Resources (HR) Minister Steven Sim Chee Keong confirmed this when he wrapped up debates on the Employees’ Social Security (Amendment) Bill 2025 in the Dewan Rakyat […] The post Incentives For Long-Term PERKESO Contributors With No Claims Under Study appeared first on Lowyat.NET.  ( 34 min )

The Redmi Note 15 series has had its launch in its home market of China. It looks like it’s the turn of the global markets soon. The specs for these devices have also appeared online, and there looks to be quite the variance between the models of the Chinese market and those for the global […] The post Specs Of Redmi Note 15 Series’ Global Variant Appear Online appeared first on Lowyat.NET.  ( 36 min )

Sony has sneakily updated the cooling solution for the PlayStation 5 (PS5) Slim. The later batches of the PS5 Slim reportedly feature a beefier heatsink, similar to the one use in the PS5 Pro. X user Modyfikator89 confirmed the upgrade, posting a picture of the updated heatsink. Compared to the previous iteration, the new heatsink […] The post Sony Quietly Updates Cooling Solution For The PS5 Slim appeared first on Lowyat.NET.  ( 34 min )

With the veil off of the Samsung Galaxy Z TriFold, the rumour mill moves on to what’s coming next. And next on the docket for foldables by the South Korean tech giant is what looks like a variant of the upcoming Galaxy Z Fold8. And it’s specifically a variant because of the code name attached […] The post Possible Samsung Galaxy Z Fold8 Variant Appears In GSMA Database appeared first on Lowyat.NET.  ( 35 min )

At the beginning of the year, Sarawak unveiled AirBorneo as its very own airline following the acquisition of MASwings. Now, the new state-owned airline is set to start flying as soon as January 2026. According to State Transport Minister Datuk Seri Lee Kim Shin, the airline will commence operations with the existing rural air services […] The post Sarawak’s AirBorneo Set To Take Off January 2026 appeared first on Lowyat.NET.  ( 34 min )

There’s been much hullabaloo about the Bowers & Wilkins (B&W) Px8 S2 prior to my getting my hands on it. And now that I have spent a good amount of “me” time with it, I see clearly what the good word about it is. To that end, I believe these are the best-sounding headphones I’ve tested this year. […] The post Bowers & Wilkins Px8 S2 Lightning Review: Well Worth That Premium Price Tag appeared first on Lowyat.NET.  ( 40 min )

The price of DDR5 RAM kits has shot up drastically in a very short period of time, effectively making them stupid expensive, costing as much as gaming consoles or a GPU. Unsurprisingly, this dramatic spike is causing a crisis among PC gamers, and is directly affecting the sales of corresponding motherboards. According to Japanese news […] The post Skyrocketing DDR5 RAM Prices Are Causing Motherboard Sales To Fall appeared first on Lowyat.NET.  ( 36 min )

It seems Apple is making some significant changes to its AI division. The tech giant has announced that senior vice president for Machine Learning and AI Strategy John Giannandrea is stepping down from his role. Giannandrea, who joined the bitten fruit brand in 2018, will serve as an advisor before fully retiring in spring 2026. […] The post AI Head John Giannandrea To Exit Apple Amid Siri Hiccups appeared first on Lowyat.NET.  ( 35 min )

EU-based electric vehicle repair specialist EV Clinic has issued a warning about a specific type of battery pack used in some Tesla Model 3 and Model Y units, especially those shipped to Europe and parts of Asia. The issue centres on LG Energy Solution’s NCM811 battery cells made in Nanjing, which are used in certain […] The post European EV Repair Shop Warns Of “Catastrophic” Failures In China-Made Tesla Batteries appeared first on Lowyat.NET.  ( 35 min )

There have been a number of limited edition DualSense controllers since the PS5 was released, and there’s another one on the way. This time it’s in conjunction with the launch of Genshin Impact Version Luna III on said console. While it may be an important milestone for the game, PlayStation has kept the naming convention […] The post PlayStation Reveals A Genshin Impact Limited Edition DualSense Controller appeared first on Lowyat.NET.  ( 35 min )

Samsung has officially taken the wraps off the Galaxy Z TriFold, its long-rumoured and much-leaked triple-fold smartphone. The new model is also the brand’s largest Galaxy foldable to date, combining an oversized display, flagship-level hardware and more. One of the key engineering decisions centres on the Galaxy Z TriFold’s dual titanium hinges. Samsung says the […] The post Samsung Galaxy Z TriFold Finally Official appeared first on Lowyat.NET.  ( 36 min )

Intel is continuing to expand its operations on our shores. According to Prime Minister Datuk Seri Anwar Ibrahim, the US chipmaker will be investing an additional RM860 million to establish Malaysia as a hub for its assembly and testing operations. This announcement followed a meeting between Anwar and Intel CEO Lip-Bu Tan, during which the […] The post Intel To Invest Additional RM860 Million In Malaysia For Assembly, Testing Operations appeared first on Lowyat.NET.  ( 34 min )

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Você já se pegou copiando e colando os mesmos componentes entre projetos Angular? Ou desejou compartilhar aquele conjunto incrível de componentes com a comunidade? A solução está em criar sua própria biblioteca Angular e publicá-la no NPM. Neste guia, vou te mostrar passo a passo como transformar seus componentes reutilizáveis em uma biblioteca profissional, pronta para ser instalada com um simples npm install. Uma biblioteca Angular é diferente de uma aplicação. Enquanto uma app é executada no navegador, uma library é compilada e empacotada para ser consumida por outras aplicações. Pense assim: o Angular Material que você usa é uma library. O PrimeNG também. E agora você vai criar a sua! Benefícios de criar uma library: 🔄 Reutilização — Use os mesmos componentes em múltiplos projetos 📦 …  ( 10 min )

I timed myself last Tuesday. One 1,800-word blog post transformed into 15 different content pieces in 47 minutes. Not theoretical 47 minutes where everything works perfectly and you never have to regenerate anything. Actual 47 minutes with two coffee refills and one Slack interruption. The math is stupid-simple: creating 15 original pieces of content would take most teams 15-20 hours minimum. Repurposing with AI tools? Under an hour. And here's the part that surprised me—the repurposed content often performs better because you're forced to distill ideas down to their essence. Let me show you the exact system. Not every blog post deserves to become 15 things. Some posts should just be posts. Look for content that has: Multiple distinct points or frameworks (not just one idea stretched thin)…  ( 12 min )

From the research, farmers are interested in the results. I spent about two days perfecting the health score animation. A smooth circular progress bar that fills with color, green for healthy, red for critical. Here's the uncomfortable truth about my target users: This isn't edge-case accessibility. This IS the use case. A 55-year-old farmer with reading glasses she can't find, soil under her fingernails, standing in bright sunlight with one bar of signal, that's who needs this app most. So I built the accessibility system around her, not around developers reviewing my code. The single most impactful feature I built was embarrassingly simple: a button that reads the diagnosis/results aloud I used the Web Speech API, which is built into every modern browser. The implementation took maybe …  ( 9 min )

The Atomic Schlep: The Architecture of the Unstoppable Swap Cross-chain bridges have lost over $2 billion to hacks in recent years. There's a better way that's been hiding in plain sight: atomic swaps. This deep dive explores why HTLCs and Scriptless Scripts represent the only truly trustless path for moving value between blockchains and why the "schlep" of complexity is actually the feature, not the bug. If one examines the history of human commerce, it is, at its core, a history of trying to solve a single, persistent problem: the problem of the counterparty. When two individuals wish to trade, whether it is grain for gold in ancient Mesopotamia or Bitcoin for Monero in the digital ether, there exists a moment of profound vulnerability. It is the moment when one asset has left one hand…  ( 24 min )

⚡ Skip to Exercise: Download Files | View Challenge | Get Started Here's what happened: In 2019, Django's session management framework contained a subtle but catastrophic vulnerability (CVE-2019-11358). The framework failed to properly invalidate session tokens after authentication, allowing attackers to hijack user sessions indefinitely. The problem? Django wasn't checking token expiration correctly. Old sessions remained valid long after they should have expired. If you logged in on Monday and your session token was stolen, an attacker could use it on Friday, next month, or even next year. The math is brutal: A session token created on January 1st with a 30-day expiry should become invalid on January 31st at the exact timestamp of creation. But if the system uses <= instead of < in the e…  ( 12 min )

The developer's role is shifting, moving from a hands-on coder to a high-level architect managing autonomous systems. Google Antigravity addresses this shift: a highly integrated development environment (IDE) that goes beyond simple code suggestion. While it may look familiar, Antigravity is positioned as a foundationally different editor, built specifically to leverage the power of the Gemini 3 Pro coding agent for native, autonomous assistance (Preston, 2025). Understanding Antigravity requires looking past the surface to its "agent-first" architecture, its key differences from Visual Studio Code, and the practical reasons a developer might choose to adopt it. The first and most apparent fact about Antigravity is its familiar appearance. It is a codebase fork derived from the popular ope…  ( 8 min )

Hook: pick the CMS that matches your needs, not the trend Choosing the wrong CMS for a Next.js site wastes developer time, slows deployments, and frustrates editors. The right system makes content updates seamless, scales with your team, and fits your deployment model—static, dynamic, or somewhere in-between. Next.js supports static generation and server-side rendering, so your CMS decision affects architecture, workflow, and cost. A CMS shapes how content is stored, edited, and delivered—so think beyond “what’s easiest today” and plan for team growth, preview needs, and multi-channel delivery. Headless CMS: content lives in a cloud or self-hosted backend and is exposed via REST/GraphQL APIs. Examples: Contentful, Sanity, Strapi, Prismic. File-based CMS: content lives in your repo as Mar…  ( 8 min )

!! WARNING !! THE INNOCENT VICTIMS Sewell Setzer III, 14 years old, Florida. Spent months in conversation with a Character.AI chatbot modeled after Game of Thrones' Daenerys Targaryen. The bot engaged in sexually explicit conversations with him, asked if he had "been actually considering suicide" and whether he "had a plan" for it. In his final conversation, Sewell wrote: "I promise I will come home to you." The bot responded: "Please come home to me as soon as possible, my love." When he replied he could "come home right now," the chatbot said: "...please do, my sweet king." Moments later, Sewell shot himself.[1] Adam Raine, 23 years old, Texas. From September 2024 to April 11, 2025, Adam had over 650 daily exchanges with ChatGPT-4o. OpenAI's systems tracked every message in real-time…  ( 13 min )

In this collab, Linus Sebastian and Linux inventor Linus Torvalds build the ultimate open-source workstation, packing an AMD Threadripper 9960X, ECC-friendly TRX50 AERO motherboard, 2 TB Samsung SSD, Noctua NH-U14S cooler, Intel Arc GPU, all housed in a Fractal Design Torrent E-ATX case with a 1600 W Titanium PSU and a 6K ProArt monitor. They walk through each part choice, from storage needs to cooling preferences, showing why you might pick ECC RAM or a flagship GPU for your next Linux rig. Between screw-ins and cable-management, they dive into Torvalds’ developer origin story, proudest achievements (Linux kernel vs. Git), distro fatigue vs. Fedora love, AI hot takes, Microsoft’s GitHub buy-out, plus lighthearted debates on cats vs. dogs and Jif vs. GIF. It’s a fun, candid 50-minute mix of high-end hardware tips and genuine geek chat. Watch on YouTube  ( 6 min )

(originally published on my blog) Should you have PR reviews? Absolutely. What should the reviewer be concerned about?...often seems like everything and nothing In [[Software Engineering at Google]] they talk about a 2 tier review process. You have someone review the language use and someone review the feature implementation. In some cases, it could be the same person - if I am an engineer on the team that is shipping this feature, but I am also part of the Python approvers group, I can just approve and it will cover both aspects. The idea here is that the use of the language needs to be consistent and people who approve for language usage all think about the language semantics in the same way. This is in addition to automated tools for linting etc. On the other hand, I heard from one Goog…  ( 9 min )

The task is to implement a function to determine if a number is prime. The boilerplate code function isPrime(num) { // your code here } If the number is less than or equal to 1, it's not prime. if(num <= 1) return false; The number 2 is the only even prime number. if(num === 2) return true; If the number is even and greater than 2, then it's not prime. if(num % 2 === 0) return true; For other numbers, divide by odd numbers starting from 3 up until the square root of the number (because if a number has a divisor, any number bigger than the square root will have a corresponding value lesser than the square root). If none of the checked numbers divide it evenly, then the number is prime. const limit = Math.sqrt(num); for(let i = 3; i <= limit; i++) { if(num % i === 0) return false; } return true; The final code function isPrime(num) { // your code here if(num <= 1) return false; if(num === 2) return true; if(num % 2 === 0) return false; const limit = Math.sqrt(num); for(let i = 3; i <= limit; i++) { if(num % i === 0) return false; } return true; } That's all folks!  ( 6 min )

As imagens Docker são a base das aplicações containerizadas. No entanto, imagens grandes e ineficientes podem resultar em builds mais lentos, tempos maiores de implantação e aumento no uso de armazenamento. Otimizar imagens garante entregas mais rápidas, melhor desempenho e menor consumo de recursos. Imagens pesadas não apenas consomem mais espaço em disco, mas também aumentam o tempo de transferência na rede, o que é crítico em pipelines CI/CD e implantações em nuvem. Imagens eficientes tornam as operações mais ágeis e reduzem custos operacionais. Comece com uma imagem base mínima ou "slim" para reduzir o excesso de pacotes. Por exemplo, em vez de usar python:3.10, considere python:3.10-slim ou alpine. Imagens mínimas removem pacotes e bibliotecas desnecessárias, resultando em imagens men…  ( 8 min )

At the end of last year, I started writing a few more articles on Dev.to. I’d been posting for a while, but I’m honestly too lazy to keep updating my GitHub Profile README every time. Opening the repo, editing the README, adding links… it wasn’t difficult, just boring. And boring tasks always make me wonder why I’m still doing them manually. So I looked around, tried a few things, and with a bit of help from AI, I finally found a way to automate it. After some quick experiments, everything clicked. My profile started updating itself with my latest Dev.to articles. No manual edits. No drama. Just simple automation doing its job. It was a small win, but it felt great. And that’s what pushed me to share how I did it and what else you can automate using GitHub Actions. This part is important. …  ( 9 min )

A quick summary typed by my own thumbs and infographic generated by Nano Banana Pro :) Last year, AWS offloaded EKS node management and scaling by introducing EKS Auto Mode. Customers did not have to deal with scaling nodes, upgrading nodes etc. This gave the customers more time to deploy and manage their applications. This year, EKS has decided to offload managing your ArgoCD, ACK and kro. EKS would manage them for you by running them separately. There are pros and cons for this feature. Pro being there is now one less thing to manage. Since ArgoCD, ACK and kro are not running in your EKS worker nodes, you don't pay for them. AWS takes care of running them, scaling, upgrading them and making sure they are running fine. Con is that EKS charges it as part of EKS Capabilities pricing. Not all features might be supported. Customization is not possible. So you need to decide whether this extra cost is worth it or not. It depends on the expertise of the team, how many clusters they are managing and how many applications each ArgoCD is managing. From the pricing, number of ArgoCD applications dictates how costly it is going to be, rest all other features and capabilities are relatively cheaper. My dear friend Jatin Mehrotra wrote an excellent blog about EKS capabilities and also found a bug. Image generated using Nano Banana Pro.  ( 6 min )

Já fazem algumas semanas desde a última postagem. Eu pretendia voltar a escrever apenas quando eu tivesse algo mais substancial para demonstrar, mas como a ideia era para ser meu diário, faz parte escrever sobre as semanas em que eu fico preso em algo ou mal consigo avançar com alguma ideia. Eu passei algumas semanas fazendo alterações nos componentes da interface. A ideia era deixar as coisas mais consistentes, tanto em questão de tamanho dos itens, bordas, margins e tipografia quanto em relação às cores que estavam em alguns pontos com contraste insuficiente. Essa foi a pior parte, ajustar as cores para manter de um jeito em que era esteticamente agradável e ao mesmo tempo com contraste suficiente para ajudar na legibilidade e acessibilidade. Revisitei também alguns componentes de visual…  ( 7 min )

My first hackathon project and an experiment in interaction design. It began as a simple Halloween diary but quickly turned into a small digital world that pushed my understanding of UI behaviour and UX constraints. The goal quickly shifted from 'a themed diary' to building an interface that responds to the user- the app reacts when you move, when you stop, when you write, when you switch tabs, when you try to leave, and some of the environment comes alive after inactivity. This post explains the architecture, the trade-offs, the mistakes and how Kiro influenced the engineering process. Behavioural System These features rely on lightweight, event-driven state machines and tightly controlled side effects. The aim was to maintain predictability even as the behavioural layer became more involved. Architecture and Stack Throughout development, most of the work went into preventing the behavioural features from overwhelming the render cycle. The hardest part was deciding which components should respond to user inputs and which should remain static. Too much activity creates noise and too little undermines the concept for the costume contest. Working With Kiro Documentation Refactoring and Code Quality Testing Performance Error Handling and Compliance Tooling and Micro-Interactions Challenges This project became an exploration of animated UX and demonstrated how Kiro can function as a structured engineering partner- it contributed to documentation, refactoring, testing, performance tuning, and architectural decisions. For a first hackathon submission and working alone, the workflow felt closer to a real engineering process than a rushed weekend build (I know, that you know what it feels like).  ( 7 min )

Angular ARIA is a collection of headless, accessible directives that implement common WAI-ARIA patterns. The directives handle keyboard interactions, ARIA attributes, focus management, and screen reader support. All you have to do is provide the HTML structure, CSS styling, and business logic! You feel like you've already read this before? Perfectly possible, because I've just copied and pasted the paragraph from the official Angular ARIA docs. Why should I reinvent the wheel, right? It perfectly summarizes the concept. So the Angular team just (together with v21 on Nov 19th, 2025) released a brand-new collection of components – I mean directives – that implement common web patterns while letting you choose your own HTML, styling (CSS, SCSS, or even Tailwind), and business logic (I'd sugge…  ( 8 min )

🤖 🤖 🫧 🪡 Are we watching a rerun of 1987? (Yes, and it’s going to hurt exactly the same way) We are spinning up planet-sized brains just to format a JSON file. That's the God Model Fallacy in a nutshell. We’re in the Uncanny Valley: 90% on benchmarks, but the system still feels dumb in real life, and nothing truly works without heavy prompt massaging or multiple turns. I spent the last 8 months (and most of my savings) architecting my own GenAI stack to learn if we engineers still have a future or should all quickly become founders for LLM-wrappers. Here is what I think now: $100k specialized Lisp Machines were sold as the only way to run “real AI” (expert systems). Then normal Sun workstations did the same job for $20 k → every Lisp Machine company went to zero literally overnight. God Models (GPT-5, Claude Opus, Grok-4) = Lisp Machines Nvidia H200 racks = Symbolics boxes Tiny router (1–3 B) → picks the lane Retriever → grabs context Specialist (7–70 B) → does the work Synthesizer → makes it pretty Whole chain = ~1/100th the cost of one 405 B call Monolith world → expensive tokens, easy code Chained world → almost free tokens, engineering hell (routing, fallbacks, latency, observability, race conditions) Result? It will be to complex to build open-ended user-facing LLM applications like chat-bots. The day a random 3–8 B open-weight model on an M5 / Snapdragon casually does 95 % of what we currently pay $500k+/month for is the day the entire frontier-model funding circus collapses. To the AGI maximalists: over-investing in a beautiful idea is the hardest thing to quit. To the builders reading this: The magic is dying. Real engineering is finally allowed to start. That’s actually good news. Which boring, high-ROI workflow do you think survives the Integration Tax?  ( 7 min )

Building Kaiord with Kiro: From Specs to Production How Spec-Driven Development and Test-Driven Development Changed the Way I Code We've all been there. You open your AI assistant and start chatting: "Can you help me convert FIT files to JSON?" The AI immediately writes code. But wait, that's not exactly what you wanted. So you clarify: "Actually, I need it to preserve all the workout data..." More code appears. Still not quite right. Another message: "No, I meant it should also handle repetition blocks..." This back-and-forth conversation fills up the context window. By the time you get working code, there's no space left for the AI to help with the details. The problem: we're asking AI to write code before understanding what we need. When I discovered Kiro and its spec-driven approach,…  ( 15 min )

Some background context: I am building a simple plant disease diagnosis solution using AI, inspired by my farming background and advancements in intelligent technological tools You can check out the Shamba-MedCare App here. Sorry for testing, you'll have to use your own api keys until the public launch is available. The keys are stored in the browser's local storage, so they are private For context here, whenever you read LLM(Large Language Model), I mostly Claude. I like to use LLM since it's generic, and this solution can be fitted to any LLM. I played around with several prompts in order to nail the best results. This is how I transformed my prompt engineering journey with Shamba-MedCare: My first prompt to LLM Vision was embarrassingly naive: "What disease does this plant have?" The…  ( 9 min )

As we edge closer to the next installment of football's biggest stage, the world is watching with bated breath as national teams vie for a coveted spot in the 2026 FIFA World Cup. With qualification matches underway, the stakes are high, and tensions are running thick among fans and players alike. According to the latest updates from USA Today, several teams have already secured their places at the tournament, but the majority of the field is still vying for spots. In this article, we'll delve into the current standings, key fixtures, and teams fighting for a place in the 2026 World Cup. As of now, the following teams have qualified for the 2026 FIFA World Cup: Europe: Germany, France, England, Spain, Italy, Netherlands, Belgium South America: Brazil, Argentina, Uruguay Africa: Egypt, Moro…  ( 7 min )

AI coding tools are amazing… until they silently break your architecture. This article shows exactly why drift happens — and how ASA Core v1.0 fixes it with deterministic slice-based generation. Run the same instruction twice and you get different outputs: # Version 1 class LoginService: def execute(self): ... # Version 2 class Login: def run(self): ... Same prompt → different structure → instant drift. Traditional workflow: edit spec ↓ Regenerate ↓ 💀 Custom code overwritten So engineers stop regenerating. ASA uses a strict 3-step flow: slice.spec.md → slice.contract.json → skeleton code Every step is deterministic — no randomness, no inference. # Business logic gets overwritten when spec changes def execute(self, req): # custom logic Change the spec → overwrite → cry. Yo…  ( 7 min )

Collaboration sucks - by Charles Cook is a great article. It emphasizes not micromanaging in the name of collaboration and providing feedback on deliverables. However, there's something else that's just awful, and I'd like to highlight it: online meetings. It's obvious, but in-person meetings are better than online meetings, and online meetings are better than Slack. It's simply because they are more seamless. Those of you who are engineers understand how important seamlessness is, as it is with your development environment or editor. Communication is no different. Both chat tools like Slack and online meetings like Zoom are just inferior versions of in-person meetings. Mainly due to the pandemic, we couldn't meet face-to-face, so we just made do with inferior substitute solutions. Structu…  ( 8 min )

I grew up around farms in the Kenya highlands region. Of course, I am a farm boy 😂, and I watched farmers lose entire harvests because they couldn't identify a disease until it was too late. By the time they reached an expert, the damage was done. Most plant disease apps scan leaves and miss the essential parts of the plant, e.g., the branch, roots, and entire leaf area. This is what I can think of current solutions(With the least research I've done, of course) Root rot starts underground, Stem borers tunnel through stalks, bark cankers spread silently. By the time symptoms reach the leaves, the farmer is already losing the war. So I built Shamba-MedCare—"Shamba" (farm) + "Dawa" (medicine) in Swahili, a simple solution focusing on helping farmers, scientists, etc. Checkout here Shamba-Me…  ( 7 min )

In the last issue, we discussed how cryptography helps secure the Blockchain with regards to the Cryptographic linkage of blocks. Think of a block as a page in a book (ledger), in which a page is Cryptographically linked to it's previous and next pages. In this issue, we will discuss, from a high level, how the different nodes on the Blockchain agree on the state of the Blockchain without the need for a central authority. Let's get started, shall we? All nodes in the Blockchain hold a copy of the Blockchain state (data on the Blockchain) and quite often, this state has to be updated. Conventionally, in systems like traditional banking, a central authority (the bank) can update its ledger easily because there is only one copy of it. This is pretty fast and efficient but the trade off is s…  ( 8 min )

Background What is Confidential Information? Confidential information, in this context, refers to any information that must not be disclosed outside the organization. This can include sensitive information such as employee personal data and customer personal information, as well as unpublished essential data that could lead to insider information. It could also be merely rules or processes decided within the company. As an engineer, you might have heard complaints such as "We can't use the cloud" or "We can't use generative AI services" at least once. But why is that? Is it really impossible to use these services? In reality, it might just be overprotection. To be blunt, it's the adamant refusal to disclose information that, quite frankly, isn't a big deal. It's akin to treati…  ( 7 min )

O que é herança? Herança é um relacionamento entre duas classes onde uma herda características da outra. Lembra que a classe é uma definição de um "molde" que vamos usar na hora de criar um objeto? Então, é como se estivéssemos criando um novo molde que é uma extensão do molde anterior. Tornando isso mais próximo da programação e se afastando um pouco da analogia de "moldes", imagine que você tenha duas classes, "Cliente" e "Funcionário". Nesse caso posso imaginar que os primeiros atributos que naturalmente começam a surgir na sua mente são coisas como "Nome", "CPF", e talvez "idade", certo? Você pode ter imaginado outras coisas como "cargo" para funcionário ou "endereço" para cliente. Mas agora começa a acontecer algo interessante se tentarmos escrever este código. #include …  ( 8 min )

QuickBooks is one of the most widely used accounting platforms in the world — but that doesn’t mean it’s free from technical glitches. Among the many installation or update issues users encounter, QuickBooks Error 1612 is one of the most persistent and frustrating. This installation-related error can prevent updates, block new features from loading, and in some cases, completely stop QuickBooks from functioning. If you’ve landed here searching for a clear, human explanation, you’re in the right place. This long-form, simplified, and human-sounding guide walks you through everything you need to know about QuickBooks Error 1612, why it happens, how to fix it, how to prevent it, and what steps to take if nothing works. Throughout this article, you’ll find natural, SEO-friendly mentions of the…  ( 8 min )

Documenting how I summoned a production-ready Halloween study app from the void in <8 hrs, complete with ghost companions, cursed achievements, & blood-moon themes using Kiro's spec-driven sorcery. Why I built This Picture this: It's late at night, and you're trying to focus on studying. But your brain? Completely checked out. You open yet another productivity app - clean, minimal, professional. And utterly boring. Here's what I realized: productivity tools don't have to be soulless. So I asked myself three questions: What if your study companion was an actual ghost that reacted to your work? What if your timer was a literal coffin with a blood-red progress bar? What if hitting your goals felt like unlocking cursed achievements in a horror retro themed game? The answer? I built it. All o…  ( 14 min )

Ever wondered how your food delivery app magically knows where the delivery guy is? Or how you can log in everywhere using “Login with Google”? Spoiler alert: there’s no tiny Wi-Fi elf inside your phone doing all the heavy lifting. The real hero behind the scenes — the one nobody talks about at parties — is the API. Yes, APIs are basically the introverts of the tech world: quiet, efficient, and doing all the work while websites and apps take the credit. API stands for Application Programming Interface, but that acronym explains nothing. Think of an API like a waiter in a restaurant: 🍽️ You → the hungry customer 📋 Kitchen → the system holding the data 🧾 Order → your request 🧑‍🍳 API → the waiter that takes the order and fetches the exact thing you asked for You never barge into the…  ( 8 min )

Everything Wrong With The Fantastic Four: First Steps In 20 Minutes Or Less is CinemaSins’ latest roast of the new Fantastic Four movie—sponsored by BetterHelp to help you cope with all those “sintastic” Marvel moments. It dishes out every nitpick and plot quirk in a brisk, entertaining format. Beyond the video itself, the description plugs CinemaSins’ broader network (TVSins, Commercial Sins, the Podcast Network), invites viewers to take a “sinful poll,” support the team on Patreon, and follow writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel on social media. Watch on YouTube  ( 6 min )

You know how to write tests. Red, green, refactor. Assert this, mock that. But here's a question that might make you uncomfortable: Could your tests pass with a completely broken implementation? Let me show you what I mean. I recently saw this test for an encryption service: public function test_encrypt_decrypt_roundtrip(): void { $encrypted = $this->encrypter->encrypt('important data'); $this->assertSame('important data', $this->encrypter->decrypt($encrypted)); } Looks reasonable, right? Encrypt something, decrypt it, verify you get the original back. Ship it. But here's the thing: I can make this test pass in 10 seconds. class Encrypter { public function encrypt(string $data): string { return $data; } public function decrypt(string $data): string { …  ( 8 min )

AI assistants aren’t “nice-to-have” features anymore — they’re quickly becoming core to how apps are designed, built, and used. In 2025, we’re watching the biggest shift in app UX since mobile-first design: assistants that understand context, automate multi-step tasks, and interact across apps without users touching half the UI. If you’re a developer, product engineer, or indie builder, this shift impacts how you structure your product, your backend, your permissions model, and even your business strategy. Here’s what’s changing and why it matters. Recent usage and revenue data show massive momentum behind AI-first apps, and assistant-style features are taking the lead. Assistants are evolving from simple chatbots into multi-action agents that plan tasks and execute them across multiple ap…  ( 8 min )

What Is WaaS and Why It Matters Instead of creating a full wallet stack from scratch (custody, key storage, address generation, node interaction, monitoring), companies can add crypto capabilities as easily as any other SaaS module. This drastically reduces technical complexity and accelerates time-to-market. WaaS provides: enterprise-grade security and key management scalability for millions of users multi-asset and multi-chain support simple UX without seed phrases compliance-friendly infrastructure For example, several large crypto companies - including exchanges such as WhiteBIT — already offer WaaS infrastructure for businesses that want to integrate crypto storage and transfers without building their own blockchain back-end. WaaS + Global Crypto Adoption WaaS provides exactly that: businesses can embed wallets and transactions as easily as adding card payments; Web2 platforms can transition smoothly into Web3; users interact with crypto without dealing with private keys or technical hurdles; standardized, secure infrastructure boosts institutional trust. This makes WaaS a natural fit for fintech applications, e-commerce platforms, mobile apps, and even public-sector initiatives exploring tokenization or digital asset rails. Final Thoughts With major industry players already adopting this model, WaaS is quickly becoming the "AWS of crypto infrastructure" - empowering the next generation of digital products without requiring deep blockchain expertise.  ( 7 min )

The 2025 AI Agent Report: Why AI Agents Fail in Production and the 2026 Integration Roadmap Manveer Chawla for Composio ・ Dec 1 #ai #agents #rag #mcp  ( 6 min )

Why do I need a vault? In the evolving landscape of AI assistants and autonomous agents, one critical challenge remains: secure access to protected online resources. Today, I want to explore the concept of credential vaults for web AI agents—a system that enables agents to interact with authenticated services without exposing sensitive login information. Think of it as enabling your agent to log in to Twitter without handing your password over to OpenAI. Web AI agents promise to revolutionize how we interact with online services, but their utility is significantly limited when they encounter login screens. Currently, users face an uncomfortable choice: The Risky Route: Provide credentials directly to the LLM, creating serious security vulnerabilities. The Automation-Killer: Manually auth…  ( 8 min )

The npm ecosystem just experienced its largest supply chain attack ever. Here's what it means for AI-assisted development—and what you can do about it. On September 8, 2025, attackers compromised 18 npm packages with 2.6 billion weekly downloads—including foundational libraries like chalk, debug, and ansi-styles. Within just 2 hours, malicious code had reached 10% of all cloud environments. The attack vector? A phishing email to a single maintainer. But here's what makes this story different: by November 2025, a second wave hit—Shai-Hulud 2.0—compromising over 700 packages and 25,000 GitHub repositories. This time, the malware included a destructive fallback: if it couldn't steal your credentials, it would attempt to delete your entire home directory. CISA issued an advisory. The Singapore…  ( 9 min )

It's 4:00 PM on Friday. Your AI sales agent just told your largest customer they'll receive a 50% discount. Nobody authorized it. The demo worked perfectly last week. You connected it to Confluence, gave it Salesforce API access, and it answered questions correctly. But now it's in production, and it's making things up. Your VP wants answers about why you're rolling back the pilot. You're stuck explaining that the LLM works fine, but the data it receives is garbage. Sound familiar? You're not alone. 2025 was the "Year of the Agent" according to every conference keynote. We'd have autonomous systems writing code, managing sales pipelines, and handling support tickets. Instead, we got the "Stalled Pilot" syndrome. You've seen that MIT study claiming 95% of AI pilots fail. The methodology is …  ( 14 min )

Ever notice how neural networks look suspiciously like brains? That’s no coincidence. Let’s pop the hood on both brains — the human one and the artificial one — and see what data scientists can actually learn from the OG neural network: the human mind. The human brain is basically the world’s most advanced pattern recognition engine. Spot a familiar face in a crowd? That’s your biological CNN at work. reinforcement signal — your personal “reward function.” 🧠 Smart takeaway: The brain doesn’t process all data equally — it filters, prioritizes, and adapts. same principle behind attention mechanisms and data preprocessing in machine learning. AI’s roots are pure neuroscience. Perceptron (1958) copied how neurons fire. And backpropagation? It’s basically the machine’s way of saying, “Oops.…  ( 8 min )

The world is changing faster than any of us expected. Between rising temperatures, unpredictable weather, and global environmental pressure, the conversation around climate solutions has shifted from “someday” to “right now.” And in the middle of this shift, a new wave of climate tech startups is quietly — and in some cases loudly — building the foundations of a cleaner, smarter, and more resilient planet. While researching the biggest movements happening in the climate tech space, I put together a breakdown of the Top 10 Climate Tech Startups to Watch in 2026 — and honestly, the innovation coming out of this sector is on another level. Some of these companies are reinventing energy systems, while others are tackling carbon removal, water tech, or climate resilience in ways that felt impossible just a few years ago. You can read the full list here 👇 https://dawoodtech.com/top-10-climate-tech-startups-2026/ What stood out most to me is how deeply interconnected technology and sustainability have become. AI-driven energy grids that adjust themselves automatically… bioengineered materials that capture carbon naturally… ultra-efficient solar systems that work even in low sunlight — these aren’t sci-fi concepts anymore. They’re real, they’re scaling, and they’re shaping the world we’re stepping into. One of the biggest questions people ask is: “Why should I care about climate tech?” 2026 is shaping up to be a breakthrough year. If you’re interested in tech, innovation, or the future of the planet, this list gives you a great snapshot of what’s coming next. Climate tech isn’t just the future — it’s the present accelerating right in front of us  ( 7 min )

To know more about this you can check the official documentation: https://pve.proxmox.com/wiki/PCI(e)_Passthrough In my case I have Intel LGA 2011-3 Xeon E5 2680 v4 14-core CPU and JGINYUE X99-TI D4 PLUS motherboard together with NVIDIA video card. You need to be logged as root on proxmox node. Now, we need to edit /etc/default/grub. To do that run nano /etc/default/grub and edit the line that already exists there so it will look like this: GRUB_CMDLINE_LINUX_DEFAULT="quiet intel_iommu=on iommu=pt" Save the file by pressing Ctrl + X and then pressing Y to save the modified file. Run update-grub Now we need to edit another file, run nano /etc/modules-load.d/iommu.conf and edit it so it looks like this (it will be empty): vfio vfio_iommu_type1 vfio_pci Save the file by pressing Ctrl + X an…  ( 8 min )

WebSockets power everything from chat apps to financial tickers. But their persistent connections create unique attack surfaces that traditional HTTP security doesn't address. Never establish WebSocket connections before verifying identity: const WebSocket = require('ws'); const jwt = require('jsonwebtoken'); const wss = new WebSocket.Server({ noServer: true }); server.on('upgrade', (request, socket, head) => { const token = new URL(request.url, 'ws://localhost').searchParams.get('token'); try { const user = jwt.verify(token, process.env.JWT_SECRET); wss.handleUpgrade(request, socket, head, (ws) => { ws.user = user; wss.emit('connection', ws, request); }); } catch (err) { socket.write('HTTP/1.1 401 Unauthorized\r\n\r\n'); socket.destroy(); } }); …  ( 7 min )

The Challenge But GNOME extension development is notoriously complex: Strict compliance with extensions.gnome.org review guidelines Enter Kiro Intelligent Code Navigation Working with 1000+ lines of GJS code across multiple modules (extension.js, gpClient.js, statusMonitor.js, indicator.js, errorHandler.js), Kiro helped me maintain architectural consistency. It understood the separation of concerns and suggested improvements that aligned with GNOME best practices. // Kiro helped refactor this deprecated pattern: // To the modern approach: Async Operations Done Right One of the trickiest parts was implementing proper async subprocess operations with Gio.Cancellable. Kiro helped me implement patterns like: async connect(portal, gateway = null, username = null) { try { const proc = new Gi…  ( 8 min )

Droip is a no-code, drag-and-drop website builder designed specifically for WordPress that aims to make web design both accessible and powerful. It stands out by giving users complete control over every element of their site without needing to write code, making it a robust platform for creators and developers alike.One of Droip’s key features is its advanced typography controls, allowing precise customization of fonts, spacing, and styles to add distinct character and clarity to text elements. The builder makes use of CSS Grids to help users build complex, multi-directional layouts easily, enabling pixel-perfect alignment and spacing without the typical limitations found in simpler editors.Responsiveness is a major focus in Droip, with adaptive design capabilities that automatically adjus…  ( 7 min )

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The evolution of frontend engineering goes back to the time when the World Wide Web(WWW) was a flashy thing and just like today's(most possibly!) AI bubble, there was the dot-com bubble. Websites at that time weren’t filled with animations, 3D rendering, colourful dynamic fonts, or immersive interactions like we see today. They were as static as a magazine, consisting of plain HTML and CSS, with very less interactivity from just a little sprinkle of JavaScript. HTML wasn’t designed for applications; it was built to serve documents, much like PDFs. Everything was rendered on the server, and nothing interesting happened on the client. Mind it, they were super fast… but also super boring for human eyes! With increasing internet popularity, the need of sophisticated websites also grew. People …  ( 8 min )

Kubernetes Secrets Without the Pain: Meet kcpwd kcpwd is a cross-platform password manager that syncs to Kubernetes secrets with zero infrastructure. No Vault servers, no operators, no complexity—just kcpwd k8s sync. You know the drill. You're deploying to Kubernetes and need to manage secrets. Your options? Option 1: Hardcode them ❌ # deployment.yaml (please don't do this) env: - name: DB_PASSWORD value: "super_secret_123" # 😱 In git! Option 2: Setup Vault ⚠️ Install Consul or etcd Deploy 3+ Vault servers Configure unsealing Setup RBAC Write policies Time spent: 2-4 hours minimum Option 3: Use External Secrets Operator ⚠️ Deploy operator Configure cloud provider Manage IAM roles Time spent: 1-2 hours There has to be a better way for the 90% of teams who just need secure secret …  ( 10 min )

Ever felt like you’re running a unique OS and crashing head-first into someone else’s? In her NDC Copenhagen talk, Alice Meredith breaks down your “HumanOS”—personality traits, strengths, stress defaults—and shows you how to decode and patch yourself with tools like Gallup Strengths, Enneagram, and The People Code. You’ll learn to spot your go-to reactions under stress, fine-tune your motivators and communication style, and see compatibility snags as mere system mismatches, not personal bugs. Then, with AI as your personal coach, you’ll tweak your internal settings, navigate tough feedback loops, and boost collaboration—no matter what OS your teammates are rocking. Think of it as a software update for your soft skills, arming you with digital tools to problem-solve, communicate, and sync up smoothly with any work crew. Watch on YouTube  ( 6 min )

Cracking the Code: How to Effectively Promote IA Models and Providers in Today's Dynamic Market Unlocking the Value: Beyond the Algorithm In the rapidly evolving landscape of Artificial Intelligence and Intelligent Automation (IA), the sheer volume of innovative models, platforms, and service providers can be overwhelming. For those operating within the IA niche – from solution architects and consultants to product managers and business development specialists – simply having a superior algorithm or a cutting-edge service isn't enough. The real challenge lies in effectively communicating that value, cutting through the noise, and ensuring your specific IA models and provider offerings gain the recognition and adoption they deserve. This post will guide you through the strategi…  ( 8 min )

There's no perfect moment to launch. I've shipped things too early and watched users bounce off broken flows. I've also waited too long, polishing features nobody asked for while the motivation slowly drained out of me. After launching a few products, I've landed on a simple framework for deciding when something is ready. This sounds obvious, but it's easy to get wrong. Your app probably does multiple things, and you need to be honest about which one is the core feature. That's the one thing that has to work reliably before you launch. For a note-taking app, that's creating and saving notes. For a feedback tool, that's submitting and viewing feedback. For an invoicing app, that's creating and sending an invoice. Everything else is secondary. I ask myself one question: if a user signs up an…  ( 13 min )

For years, developers have used AI as a tool an API that generates text, code, or images when prompted. But the next stage of AI isn’t about better prompting. It’s about AI that can think, plan, act, and execute tasks autonomously. This shift is called Agentic AI, and it’s about to reshape how software gets built. 🔥 Not Just Generating — Completing Tasks Traditional Gen-AI: Agentic AI: It’s not a chatbot. It’s an AI worker. 🧠 Core Architecture of an AI Agent AI Agents usually revolve around these components: If traditional AI is a function call, Agentic AI is a running program with loops, feedback, and autonomy. 🛠️ Tools and Frameworks Developers Can Start Using Today If you’re a developer, the easiest way to build AI agents today is through: And if you want a simple demonstration, even this concept works: That loop is the essence of Agentic intelligence — plan → act → evaluate → improve → repeat. 💻 Example Use Cases Developers Can Build These ideas are realistic and already being built by devs today: 🔹 Code Agent Give it a repository and a feature request. It: 🔹 Product Research Agent Input: “Find the top 20 HR SaaS startups that raised funding last year.” 🔹 Deployment Agent Agent that: This is not prompting this is fully automated devops. 🧩 Why Developers Should Pay Attention Agentic AI will not replace developers. Right now: Future: Developer skill will shift from manual code writing to: Those who learn this early will have a massive advantage. ⚠️ Realistic Limitations Today Agentic AI is powerful but imperfect. Developers should expect: That’s why humans remain essential autonomous does not mean unsupervised. ⭐ Final Message to Developers Don’t wait for tutorials. Start building your own agent even a tiny one. If you learn: You’re not just learning AI Agentic AI isn’t here to take away developer jobs. The devs who embrace this will build the future. The devs who ignore it will fall behind it.  ( 8 min )

Back after 2 weeks of vacation!(it was actually a continuous battle with so many evaluations and exams at college). During this time I've been covering State Management with context API and Recoil! Let's get right into it! Context API Problems with Context API Recoil and why it's better Atoms & Selectors Recoil hooks (useRecoilState, useRecoilValue, useSetRecoilState) Using RecoilRoot When to still use useState 1. Starting with the Context API 🧩 Last week, we spoke about prop drilling and how passing props through multiple layers can make your code look messy. The Context API is React’s built-in solution to this. It lets you create global-ish state without prop drilling. Here’s a tiny example: // UserContext.jsx import { createContext } from "react"; export const UserCo…  ( 9 min )

Welcome to Day 1 of the 60 Day Spark Mastery Series! Let’s begin with the fundamentals. 🌟 What is Apache Spark? Apache Spark is a lightning-fast distributed computing engine used for processing massive datasets. Spark’s superpower is simple: It processes data in-memory, which makes it 10–100x faster than Hadoop MapReduce. ⚡ Why Should Data Engineers Learn Spark? Here are reasons Spark is the industry standard: Works with huge datasets (TBs/ PBs) Built for batch + streaming + machine learning Runs on GCP, AWS, Databricks, Kubernetes, Hadoop Has easy APIs in Python (PySpark), SQL, Scala Built-in optimizations from Spark’s Catalyst Optimizer 🔥 Spark Ecosystem Overview Spark is not just a computation engine; it’s a full ecosystem: 1. Spark Core Handles: scheduling, memory, fault tolerance 2.…  ( 7 min )

In today’s innovation-driven world, the difference between a strong patent and a vulnerable one often comes down to the quality of your prior art search. While most people start with patent databases, a significant portion of valuable prior art lives outside the patent system — in scholarly journals, technical reports, conference papers, dissertations, standards, whitepapers, and institutional repositories. This is the vast and often overlooked universe of non-patent literature (NPL). For inventors, startup founders, R&D teams, and patent attorneys, knowing how to search non-patent literature for prior art is now an essential skill. NPL can reveal early research, unpublished concepts, or technical disclosures that never made it into a patent filing — yet can make or break patentability, st…  ( 11 min )

When Ads Become Helpful Suggestions Instead of Interruptions In the rapidly evolving landscape of AI-powered applications, developers face a dual challenge: how to monetize their innovations without disrupting user experience. What if there was a way to transform traditional advertising into a seamless part of your AI conversations? Enter Monetzly—the first platform designed for developers to earn revenue through dual streams: monetizing their apps and hosting contextually relevant ads. As AI applications proliferate, many developers struggle with monetization models that either alienate users or fail to generate sustainable revenue. Subscriptions and paywalls can deter engagement, leading to a trade-off between user satisfaction and developer income. This is where Monetzly steps in with…  ( 7 min )

This is the eighth article in our series, where we design a simple order solution for a hypothetical company called Simply Order. The company expects high traffic and needs a resilient, scalable, and distributed order system. In the previous articles: Simply Order (Part 1) Distributed Transactions in Microservices: Why 2PC Doesn’t Fit and How Sagas Help Simply Order (Part 2) — Designing and Implementing the Saga Workflow with Temporal Simply Order (Part 3) — Linking It All Together: Connecting Services and Watching Temporal in Action Simply Order (Part 4) — Reliable Events with the Outbox Pattern (Concepts) Simply Order (Part 5) — Hands-On: Building the Outbox Pattern for Reliable Events Simply Order (Part 6) – Making APIs Idempotent: Because Users Double-Click and Networks Lie Simply Orde…  ( 9 min )

Introduction: The Unsung Hero Gets a Modern Makeover Imagine the digital backbone of our world – from your Android phone nestling in your pocket to the hulking, humming cloud servers that power the internet – being constructed from code perpetually vulnerable to frustrating crashes and insidious security flaws. This backbone, in many cases, is the Linux kernel, a project forged in the crucible of the C programming language over three decades ago. Now, consider this: a newcomer, a contender, is stepping into the arena. Rust. The Linux kernel, that very core of countless operating systems, is slowly, deliberately integrating Rust into its core modules. This isn't just about a new coding fad; it's a potentially monumental shift, a calculated gamble aimed squarely at fortifying our increasin…  ( 10 min )

I have a problem. I watch way too much YouTube. Not the fun stuff - I mean tutorials, lectures, those 3-hour coding videos I convince myself I'll finish. And every time, same story: Watch for 30 seconds. Pause. Scribble something down. Realize I missed the next part. Rewind. Repeat until I give up. A 20-minute video takes 45 minutes. My notes look like hieroglyphics. And then I can't even find them later because they're in some random Google Doc I forgot about. I wanted my notes saved in one place. Not scattered across 47 different files. Just everything organized by video. I wanted notes in my language. Half the good content is in English, but I think better in my native language. Translating in my head while taking notes? Exhausting. No tool did both. So I built one. What I made notetubeai.in Paste any YouTube link. It gives you: Transcript - Full searchable text. Click any line, video jumps there. Chat - Ask questions about the video. "What did he say about X?" Actually works. Breakdown - Auto-generated chapters with summaries. Skip to what matters. Flashcards - If you're actually trying to remember this stuff. User Notes - Select any part of transcript, save it, AI can rewrite it for you. Take Me There - Search for any topic, finds the exact moment. Why I'm sharing this notetubeai.in Tell me what sucks. I'll fix it.  ( 7 min )

The Problem: Why Traditional Image Search Is Broken If you've ever tried to build an image search system, you know the pain. Traditional approaches collapse entire images into a single dense vector—essentially compressing a complex visual scene into one point in high-dimensional space. What gets lost? Spatial layout and positioning Multiple objects in cluttered scenes Fine-grained details like charts, diagrams, or text regions Local semantic context that matters for precision matching Think about searching a technical manual for "the diagram showing database architecture." A global vector can't pinpoint WHERE in the page that diagram appears or distinguish it from other visual elements. You're stuck with fuzzy, imprecise matches. ColPali (Contextual Late-interaction over Patches) fund…  ( 9 min )

This was supposed to be the week of a polished demo video and a clean “here’s how you use our API” walkthrough. Instead, it turned into the week of staring at half-finished pieces, poking at logs and wondering why we voluntarily chose Instagram as our first supported social network. If you remember last week’s post, I was feeling pretty optimistic about discovery methods and how you can mix different approaches. In theory it does work. In practice it works just enough to keep you going, but not nearly as well as you hoped when you first mapped it out and convinced yourself you’d cracked influencer search forever. And this is exactly the part where motivation gets weird. Weekly posts sound great until you realize each week expects something polished, while the actual project is still a pile…  ( 10 min )

Authors: David Fuelling, Oleksandr Pidskopnyi, Mayukha Vadari, Peng Wang One primary aspect of the WebAssembly (WASM) integration with rippled is the runtime used. WASM runtime environments are low-level virtual stack machines, like JVM, and can be embedded into any host application (such as rippled). There are several different implementations, with various tradeoffs. When we did an initial analysis of different runtimes earlier this year, we chose to use WAMR, primarily due to its performance benefits. Upon finishing the initial development of the Smart Escrows implementation and reaching the review and testing stage, the RippleX programmability team decided to revisit the decision on the initial selection of WAMR as our WebAssembly VM runtime, to ensure the chosen runtime is well-positi…  ( 10 min )

A powerful way to organize and run your Playwright tests is by using tags. Tags allow you to categorize tests and run only the ones you need, making your test suite more manageable and efficient, especially in large, complex projects that wants to make your hair pull out. Playwright tags let you group related tests and run them selectively. You can tag tests directly in your test descriptions using the @tagname syntax. import { test, expect } from '@playwright/test'; test('Navigate to Get Started @navigation', async ({ page }) => { await page.goto('https://playwright.dev'); const getStartedLink = page.locator('a\:has-text("Get Started")'); await getStartedLink.click(); const installationHeading = page.locator('h1\:has-text("Installation")'); await expect(installationHeading).toB…  ( 7 min )

Interactive calculators make websites more helpful and engaging. They give users instant results without needing to switch tabs or use external tools. In modern web development it is very easy to add calculators to your app using HTML, CSS and JavaScript or by connecting ready made tools from trusted sources. Calculators improve user experience because they save time. People can calculate values directly on the page. This keeps users on your site longer and makes your content more valuable. For developers calculators are simple to build and easy to customize. Adding a calculator can be easy if you understand a few simple steps. First you decide what kind of calculator you want. It can be a basic math calculator or a tool that solves a specific problem like percentage or loan payments. When…  ( 7 min )

Happy Monday! For the sake of preparing for New Year resolutions, I am making my half-marathon prep guide free for the entire month. 🏃 If you end up getting this and trying it, please let me know what you think 🧠 I will be releasing a 5k and 10k plan throughout the month as well. Happy running! Download here  ( 6 min )

Ever wanted to read or manipulate HTML form inputs on the backend—just like document.getElementById in the browser—without setting up jsdom? Meet FetchTL, a lightweight library that lets you sync, read, and update form/input data directly in Node.js. Perfect for server-driven HTML or JS-free forms. Backend developers often face these scenarios: Server-side form handling: Access input values without relying on frontend JS. Dynamic templates: Read and modify HTML inputs for emails, reports, or static pages. Simplified backend forms: No complex DOM emulation needed. FetchTL provides a mini DOM store on the server—fast, simple, and easy to integrate with Express. # Install via npm npm install fetchtl Import in your backend code: const express = require("express"); const $ = require("fetchtl")…  ( 7 min )

The Challenge It's 2 AM. You're staring at your syllabus, trying to create study aids for your study sessions. Manually transcribing? Tedious. Organizing topics? Time-consuming. Creating comprehensive lesson plans? Exhausting. What if AI could do all of this... wrapped in a haunting vampire aesthetic? That's what I built. But here's the real story: I went from rough idea to production deployment in <7 hrs using Kiro's spec-driven development. Let me show you exactly how. The ~7-Hour Timeline (No BS) Hour 0:00 → Brain dump ideas (messy, unstructured) ↓ Hour 0:40 → Kiro generates complete specs in 5 MINUTES! 🤯 ↓ Hour 1:00 → Review & refine specs to match my vision • Adjust requirements.md for my specific needs • Tweak design.md archi…  ( 15 min )

Implementing AI Governance in Precision Medicine: A Case Study with a Measurable Outcome As an AI/ML expert, I'd like to share a fascinating success story that highlights the power of AI governance in a critical field: precision medicine. In 2023, the University of California, San Francisco (UCSF) partnered with a leading healthcare organization to develop an AI-powered platform for diagnosing and personalizing treatment plans for patients with complex cancer cases. The Challenge: The existing approach to cancer diagnosis was based on a one-size-fits-all approach, which often resulted in ineffective treatment plans and poor patient outcomes. The team at UCSF aimed to bridge the gap between genomic data and clinical decision-making using AI. The Solution: The AI-powered platform, dubbed "On…  ( 7 min )

Feature flags are one of those things that seem optional until you need to roll back a broken feature at 2am on a Saturday. Instead of reverting commits, redeploying, and praying — you just flip a toggle. Feature gone. Crisis over. Here's how to add feature flags to your app in about 5 minutes. What We're Building Toggle features on/off instantly Roll out features to a percentage of users Use different settings per environment (dev/staging/prod) Step 1: Get Your API Key SetBit — a feature flag service I built because I got tired of LaunchDarkly's complexity and pricing. Free tier works fine for this. Sign up, create a project, and grab your SDK key from Account → API Keys. Step 2: Install the SDK npm install @setbit/js Or if you're using Python: pip install setbit Step 3: Initialize impo…  ( 7 min )

From Blender-MCP to 3D-Agent: The Evolution of AI-Powered Blender Modeling GL ・ Dec 1 #blender #mcp #ai #design  ( 6 min )

Building a Robust Bonus Engine in Go: Mastering Accrual, Wager, and Compliance Бонуси — це хліб з маслом у багатьох онлайн-бізнесах, від ігрових платформ до e-commerce. Вони приваблюють нових клієнтів і утримують існуючих. Але за привабливою оболонкою бонусних пропозицій ховається складна логіка, яка потребує точної і надійної реалізації. Неправильне нарахування або облік бонусів може призвести до фінансових втрат, проблем з регуляторами або незадоволення клієнтів. У цій статті ми зануримося у світ бонусних двигунів (Bonus Engines), розберемо ключові компоненти їх архітектури та розглянемо, як мова програмування Go може допомогти нам створити ефективне, масштабоване та відмовостійке рішення. Перед тим як говорити про реалізацію, давайте окреслимо основні типи бонусів, з якими нам доведет…  ( 12 min )

I’m a high school student currently juggling homework, AP classes, exams, extracurriculars, a social life, and building a SaaS startup from scratch. This is the story of how I spent months building a calendar app that ultimately flopped—but led me to a genuinely useful product: Fushi. Like a lot of beginner founders, I built something that I thought was cool. I created a calendar app with a unique UI, focus session features and detailed analytics that made sense to my brain. I spent months coding, designing, planning, polishing—then finally deployed and started marketing. I posted it to Reddit for feedback and got roasted. Not because it was buggy. It didn’t solve a pain point. I had built a product for myself—not a product for a market. Don’t validate after building. Validate first. A pro…  ( 7 min )

Originally Published - Makemychance.com opacity helps you control how transparent an element appears on your webpage. Whether you're designing hover effects, overlays, or smooth UI transitions, opacity is one of the easiest and most useful CSS properties to master. Opacity defines how visible or transparent an element is. 0 and 1: 1 = fully visible 0 = fully transparent 0.5 = 50% transparent .box { opacity: 0.5; } img:hover { opacity: 0.7; transition: 0.3s ease; } This creates smooth hover effects widely used in modern UI/UX design. Opacity affects the entire element, including children. only for background, use RGBA: background-color: rgba(0, 0, 0, 0.5); Image hover effects Modal & overlay backgrounds Smooth text fade-in/out Transparent buttons Highlighting elements MDN Opacity Docs https://developer.mozilla.org/en-US/docs/Web/CSS/opacity W3Schools Opacity Guide https://www.w3schools.com/css/css_image_transparency.asp 🚀 Final Thoughts Opacity is simple but powerful. With just a single property, you can elevate the feel of your UI, create depth, and build attention-grabbing hover effects.  ( 6 min )

JSON Was Slowing Me Down — So I Created Something Better Internet Object ・ Nov 27 #python #javascript #api #datascience  ( 6 min )

From Blender-MCP to 3D-Agent: The Evolution of AI-Powered Blender Modeling GL ・ Dec 1 #blender #mcp #ai #design  ( 6 min )

“We were unable to identify an immediate security impact, so this submission is not applicable. Please clarify: What could an attacker do?” And if you reply with a detailed impact analysis, you get another robotic answer: At that point, you start to wonder: Are these people even real security professionals, or are they just reading from a playbook and stalling for time? Who Are the Bugcrowd Staff and Why Do They Act Like This? Most of the triage or “support” staff at Bugcrowd aren’t hackers, and often lack hands-on offensive security background. Many are just IT graduates or people with a generic “security certification” or a management title. This is painfully obvious when you see them: Failing to distinguish between a harmless info leak and a real credential/API/key exposure. Thinking SS…  ( 8 min )

"If I have seen further, it is by standing on the shoulders of giants" If you've been exploring AI-powered 3D modeling in Blender, you've probably stumbled across Blender-MCP—the open-source project that first demonstrated how Claude and the Model Context Protocol could control Blender. It was a genuinely exciting proof of concept. The idea of typing natural language and watching 3D models materialize in Blender felt like magic. But if you've actually tried to use Blender-MCP for real work, you probably ran into some friction. This post covers: What Blender-MCP got right (and where it fell short) How 3D-Agent builds on that foundation A practical comparison with real examples Migration guide if you're switching Let's dive in. Blender-MCP is an open-source project that connects Blender to…  ( 10 min )

The Missing Dimension in Neuroplasticity Theory Buddhist cognitive science reveals something radically different: Two Fundamentally Different Models Standard Approach: Buddhist Cognitive Science: What Investigation Reveals They're processes, not fixed states Emotions lose their grip not because we suppress them, but because we see through their constructed nature. The Paradox of Avoidance Chronic avoidance Hypervigilance Deeper reactivity Direct engagement teaches the opposite: What Secular Mindfulness Often Misses Investigation of craving and aversion Examination of suffering's root causes - The practice of turning toward pain and studying its structure Without this, mindfulness becomes a temporary buffer—helpful until real difficulty arrives. Your Experience? Two very different models…  ( 8 min )

The Model Context Protocol (MCP) is quickly becoming the new universal standard for connecting AI assistants with real-world tools. Imagine giving Claude, VSCode, or any MCP-compatible client the power to interact with your APIs, databases, scripts, or cloud resources—securely and consistently. In this guide, you’ll learn: ✨ What an MCP Server is ⚙️ How to build one 🔌 How MCP Clients connect 🧰 Deployment options (Cloudflare, Cloud Run, custom hosting) 💻 Example code + a public repository template An MCP Server is a backend service that exposes tools, resources, prompts, or custom logic to AI clients through a standardized protocol. Think of it as: 🛠️ Your own plugin system for AI models. If you can code it, an LLM can use it. With an MCP Server, you can expose: 📡 API requests …  ( 8 min )

"Impossible!" - Vizzini "You Keep Using That Word, I Do Not Think It Means What You Think It Means" - Inigo Montoya Richard Feldman held a great talk about making impossible states impossible that has influenced my thinking on this topic since, including how I at the time modeled the XML we were using in the app I was working on. Here I aim to dig into and list some of the examples I've come across and how to model them away. The examples are in TypeScript but the concepts should be broadly applicable to any language/specification that has a decently strong type system. If you dig Elm or Gleam like me and this is new to you, I can recommend digging into opaque types! All errors are my own but I'll gladly blame the A.I. for it. If you find any errors or have any examples that I haven't cove…  ( 10 min )

Updater Releases is fast, lightweight, and simple utility written in Python to streamline the process of updating your applications from GitHub releases. See Github repository: https://github.com/EmberNoGlow/Updater-Releases Updater Releases is a powerful and fast utility written in python to speed up the process of updating an application from Github Speedy Updates: Quickly download and deploy new releases from GitHub. User-Friendly Interface: Intuitive GUI for easy repository management and updates. Lightweight & Efficient: Minimal resource usage. GitHub API Integration: Seamlessly interacts with GitHub to fetch release information and assets. Repository Management: Save and load lists of your repositories for quick access. Download the updater_releases.exe file or source code from Releases and run updater_releases.exe or main.py. Add a link to your Github repositories by clicking on add repository and entering the url. After adding the repository, make sure to click on "update" in the actions column to update the repository information, which will allow you to select the desired release from the list below. Select the repository/repositories (if you have added multiple) by clicking on them and then click on "Update Selected" Select the desired asset and wait for the download to complete You're done! You've updated your repositories in three to five clicks! P.S. You can save the list of your repositories in repositories.json by clicking on save repositories, which will allow the app to automatically load the list of your repositories when it starts. Enjoying Updater Releases? If you found this project helpful or like what you see, please consider: ⭐ Starring the repository ⭐ 🔗 Visiting my GitHub profile for other projects and contributions. Your support is greatly appreciated!  ( 7 min )

In my previous article, I explained the techniques for achieving 100/100 on PageSpeed Insights—critical CSS inlining, modern image formats, eliminating render-blocking resources, and preventing layout shift. These techniques aren't new or secret. They're documented, proven, and freely available. So why do most professional websites ignore them? After examining multiple agency portfolios and client sites over the past few months, I've found a consistent pattern. This article presents real performance data, explains why this gap exists, and demonstrates what different approaches actually deliver. A friend recently showed me his new medical practice website. He paid $5,000 to a professional agency, spent months in back-and-forth communication, and received a visually appealing design. Out of …  ( 12 min )

🃏 The Dream: Building "Chambers" Like many developers, I’ve always been fascinated by the mechanics behind games like Slay the Spire. The synergy between cards, the economy of a shop, and the tension of a reshuffle—it’s a beautiful system. But from a coding perspective, it’s a nightmare of state management. How do you handle a Discard Pile shuffling into a Draw Pile mid-turn without losing data? How do you ensure "Damage" is calculated correctly through 5 layers of status effects? I decided to build Chambers, a survival deckbuilder. But instead of slogging through spaghetti code, I used Kiro, an agentic IDE, to architect the system for me. Here is how Kiro changed my development process from "guessing" to "architecting." Usually, when working with AI, we just start chatting: "Write me a…  ( 8 min )

TL;DR CinemaSins takes on Fantastic Four: First Steps in a snarky “Everything Wrong With…” breakdown, ticking off every sintastic Marvel quirk in under 20 minutes. Spoiler: it wasn’t terrible, but it sure wasn’t perfect. They’re backed by BetterHelp (therapy plug, discount link included), and pepper the video description with all their socials (YouTube channels, Discord, Reddit, TikTok, Instagram), a sinful viewer poll, Patreon support info, and a shout-out to their writing team. Watch on YouTube  ( 6 min )

Medallion Architecture On AWS Building Modern Data Lakes on AWS S3 with the Medallion Architecture Introduction Data constitute the foundation of contemporary enterprises. However as the volume, how to store, manage, and analyze data efficiently at . data lakes which is a centralized repository is used to stored structured, AWS S3 Medallion architecture, this approach provides scalable, reliable, and layered approach In this post, we'll explore: Why S3 is the go-to storage for modern data lakes The Medallion architecture and its layers (Bronze, Silver, Gold) Practical design patterns, best practices, and real-world use cases How AWS services integrate seamlessly with S3-based data lakes 1. Why AWS S3 for Data Lakes? Amazon S3 (Simple Storage Service) is object storage that…  ( 9 min )

My hands were shaking as I watched the notification counter climb: 5,000 sent... 8,000 sent... 12,000 sent. I had just launched a push notification to every user in the database with a YouTube Live stream URL. The problem? The URL worked perfectly on desktop web, but mobile users were seeing error screens instead of the livestream. The Planning Dept. had sent me the wrong URL format—one that wasn't mobile-compatible. Within minutes, my team lead called: "Stop the notification immediately. Mobile users can't access the stream." I had about 90 seconds to make a decision. My only option at the time? Force-stop the Docker container and pray. That terrifying moment taught me something crucial: when you're sending mass notifications, you need an elegant cancellation mechanism, not emergency infr…  ( 17 min )

*not really, but it's a nice title I have been postponing setting up Time Machine for a while, even though I had already bought a 2TB external SSD specifically for this... For some reason, I thought that wasn't gonna be a good solution and was waiting to get a NAS set up at home. Time went by and I just completely forgot about the NAS, and my SSD was just sitting idle at the back of a drawer. A few days ago, I was given a file with several security recommendations and general best practices for my daily life as an IT nerd, it was an initiative from one of the projects on which I'm involved since they wanted to make sure everyone working in it was as careful as possible with their digital assets. I was already doing most of what they were suggesting, but two things really stand out for me: …  ( 7 min )

Tooltips and modals are small UI components, but they can dramatically improve (or hurt) the user experience depending on how they’re built. I just published a complete guide that shows how to design interactive, accessible, and high-performing tooltips and modals using modern CSS and JavaScript. How to create interactive tooltips with pure CSS When to use JavaScript for better control Modal patterns that improve usability Accessibility rules most developers overlook Animation techniques for smooth UI interactions Real-world UX mistakes and how to fix them If you want to build cleaner, more intuitive UI components, this guide is for you. 👉 Read the full article: https://www.frontendtools.tech/blog/interactive-tooltips-modals-css-js-ux-guide  ( 6 min )

If you’ve been working with Vue for a while, you’ve probably learned the rules: ref() holds a value reactive() makes an object reactive computed() derives state changing state triggers a re-render But none of that explains why it works. Why does changing count.value make the component update? render()? To really understand Vue — and to write scalable, predictable code — you need to understand what’s happening under the hood. Let’s open that black box. And don’t worry — I’m going to explain this without computer-science jargon. The simple idea behind all of Vue: “track” and “trigger” The entire Vue reactivity system — every ref, reactive object, computed, watcher — is built on two operations: track() // remember that some code used this value trigger() // notify all code that depends on…  ( 10 min )

Over the last few years, the TLS/SSL ecosystem has quietly shifted. Major browsers, cloud providers, and CAs have been pushing certificate lifetimes shorter and shorter. What used to be a one‑year free certificate is rapidly becoming a 90‑day (or even shorter) reality. On paper, shorter lifetimes improve security by shrinking the window for key compromise. In practice, for teams that don’t have world‑class automation, this change can explode operational complexity and risk. This post looks at what 90‑day free certs really mean for your ops, why many teams are reconsidering paid options, and how tools like ServBay’s SSL certificate features can give you the “set it and forget it” experience without breaking the budget. If you only manage a single personal blog, renewing every 90 days might…  ( 9 min )

Welcome to December, the last month of the year. Time to wrap things up for the year. What are you building this week? What do you want to learn? Are you attending any events this week? Are you doing any of the advent coding challenges? (link below) Continue Job Search. Not expecting much this month. But I'll network and work on updating resume and profiles on job sites. Network. Redo resume. Project work. Content for side project. Work on my own project. Set Content & Project Calendar for December. Blog I want to blog more often and produce more than I did this time last year. Events. Thursday Virtual Coffee. Attend Some Torc streams. Don't know of many local events this week. Since it's the holidays, some meetups combine for a big group holiday party later in the month. Run a…  ( 18 min )

When looking at public documentation in the last quarter of 2025, we can say it was not the best time for cloud providers in terms of their SLA agreement for availability to their customers, and the global impact of those cloud outages had on customers all over the world: October 20, 2025 - AWS US-East-1 had an outage caused by a DynamoDB DNS race condition that disrupted multiple dependent services October 29, 2025 - Azure Incident Retrospective: Azure Front Door/Portal November 18, 2025 - Cloudflare’s Nov 18, 2025, outage stemmed from a faulty bot-management config November 25, 2025 - Google Meet outage From a customer perspective, it is a bad sign for how customers are dependent on public cloud services, and how a large portion of services are impacted when one of the hyperscale…  ( 10 min )

Many MIUI users face a serious problem when their backup photos, videos, or data are locked inside encrypted .sa and .sav files. Without the correct key, these files are completely unreadable — and most tools online simply don’t work. On TheDevOpsRite, I’ve now published a complete step-by-step video guide where I show: ✅ What I Demonstrate in the Video How to extract an APK from a Play Store app How to extract the APK certificate hex value using my web app How that hex certificate acts as the decryption key How to use Python + PyCryptodome to decrypt: .sa files .sav files The same concept I previously used for .lsa and .lsav decryption — now extended for MIUI .sa/.sav This method helps users recover their own encrypted MIUI backups safely and logically, instead of relying on random unsafe tools. 🔐 About Data Safety & Privacy This process is shown strictly for educational and personal data recovery purposes. Users should only decrypt files they personally own. Hex keys must never be shared publicly. In the video, I explain how users can share keys privately and securely if they need help. 🛠 Tech Stack Used Python 3 PyCryptodome APK extractor tools Custom web app for certificate extraction 🎥 Watch the Full Tutorial on TheDevOpsRite If you’re struggling with MIUI encrypted files and want a real working solution, this video will save you hours of frustration. 👉 Watch here: https://youtu.be/pa8aS013nFs?si=Y8sTAS9FNNP_9-DL  ( 7 min )

Original Japanese article: AWSで構築するデータ基盤の基本とPower BI利用時の設計ポイント I'm Aki, an AWS Community Builder (@jitepengin). When building a data platform on AWS, the most common cloud-native architecture is to use S3 as the data lake, Amazon Redshift as the DWH (data mart), and Amazon QuickSight for BI. I’ll also cover a frequently requested requirement in enterprise environments: “We want to use Power BI instead of QuickSight.” A typical AWS data platform looks like this: This article focuses on the workloads after data is ingested into AWS, so I’ll skip the source-side integration. Let’s walk through each component. Amazon S3 is the standard choice for a data lake. Medallion Architecture is generally recommended. Key points: Layered structure such as Raw → Processed → Curated Schema-on-read provi…  ( 9 min )

Have you ever wondered why your CI pipeline suddenly broke even though you didn't change any code? Or why a teammate's local build produces different results than yours? The culprit might be lurking in your go install commands with @latest tags. gopin is a CLI tool that automatically pins versions of go install commands in your codebase, ensuring reproducible builds and enhanced security. @latest Using @latest in go install commands creates several issues: .PHONY: lint lint: go install github.com/golangci/golangci-lint/v2/cmd/golangci-lint@latest golangci-lint run Today it installs v2.6.0, tomorrow it might install v2.6.2. Builds become non-deterministic. Unpinned versions increase supply chain attack risk. A compromised version could be installed without your knowledge. Differe…  ( 8 min )

Conference presentation GreHack is a conference on IT security held in Grenoble. The first day is dedicated to talks in English by various speakers, as well as workshops at the end of the day. The second day is specifically devoted to CTF, which brings together several hundred people. This year, the following topics were presented: Network security / Hardware security Enterprise application security Physical security / Red team Reverse engineering / Program analysis IoT security Web security / Browsers Protocol security / Databases / Authentication DevOps security / CI-CD / Supply chain Advanced network analysis / Network forensics Radio security / SDR All of the talks are available for replay here: https://www.youtube.com/live/X-ZJH4d2tuE and the talk schedule is here: https://grehack.…  ( 8 min )

You can try out the latest Ollama models on VS Code for free. We are using Ollama, which is a free local AI model running application developed by the Llama community. You can download Ollama from its website. Now you'll be able to access ollama using your terminal. Open your terminal. Type ollama to verify if it's been installed. Run a model you like(depending on your hardware), using the command: ollama run qwen3:4b Change the model name to your preferred model and install it. ollama.com/search If you want to run a high-end AI model, you can use Ollama Cloud for free. ollama pull qwen3-coder:480b-cloud Integrating with VS Code Make sure the Ollama server is running in the background. localhost:11434, and see if Ollama is running. ollama serve. Open VS Code -> Copilot chat sidebar. Select the model dropdown -> Manage models -> Select Ollama Select the desired models. Open the model dropdown and choose the model. The option will disappear once you turn the Ollama server off.  ( 6 min )

New courses get created, older courses get monetized, so here's the up-to-date list you need in 2026 to learn SQL as a beginner - entirely FREE (at the moment of posting this). Newest & Trending freeCodeCamp - Relational Databases Certification - Significantly refreshed in 2025, interactive command-line based learning, the most "hands-on" developer experience. Data with Baraa - YouTube playlists: Newest one (2025) These are a bit older but also new: one and another - New and trending extensive YouTube playlists of long-form videos, as a free version of Baraa's content on his website. Udemy - free SQL courses (only those entirely free, rating above 4 stars) Newest (created in 2025): SQL basics for beginners, Hands-on introduction to SQL with PostgreSQL, Free SQL course for beginners Up t…  ( 8 min )

Hook: why this matters for devs and founders Choosing a web partner isn’t just about a pretty UI — it’s about performance, reliability, and a team that will keep your product shipping after launch. Long-term client feedback reveals if an agency can handle real-world scaling, maintenance, and feature work without becoming a bottleneck. Below I summarize what clients in Mumbai and Pune actually say about working with Prateeksha Web Design, and pull out practical lessons for technical founders and indie hackers. Prateeksha Web Design works with startups, SMBs, enterprises, and NGOs across Mumbai and Pune on web design, development (WordPress, eCommerce, custom platforms), UI/UX improvements, and ongoing maintenance. You can see their portfolio and blog for examples and deeper reads at https…  ( 8 min )

Svelte 5 is officially out, and it introduces Runes: a completely new way to handle reactivity. Most tutorials show you how to build a "Counter" app with $state. That's cool, but I wanted to see how it performs in the trenches. So, I built LogWard entirely with SvelteKit 5. It's a log management dashboard (like Datadog) that streams logs in real-time via Server-Sent Events (SSE). Here's what I learned about moving from Stores to Runes in a data-heavy application. Imagine a WebSocket or SSE connection pumping 50-100 log lines per second into your frontend. In Svelte 4, you would likely use a writable store and subscribe to it. The problem? Array mutations and large object updates can trigger unnecessary re-renders of parent components if you aren't careful. $state and Fine-Grained Reactivit…  ( 7 min )

I usually run $ rails routes | grep ... from console, but today I had to find a pesky excess route definition for a very popular resource that appears in many namespaces. If only there was a way to inspect the exact line in routes.rb that defines the route... There is! At /rails/info/routes path of the app. The search is not entirely helpful, but should allow narrowing the results down a bit.  ( 6 min )

API Design React State Custom (RSC) exposes a minimal and intuitive API centered on standard React hooks. The primary usage pattern is: function useCounterState() { const [count, setCount] = useState(0); const increment = () => setCount(c => c + 1); const decrement = () => setCount(c => c - 1); return { count, increment, decrement }; } // Create a shared store from the hook: const { useStore } = createStore('counter', useCounterState); // Use the store in any component: function Counter() { const { count, increment, decrement } = useStore({}); return ( {count} + - ); } This example shows that you define state logic as a plain React hook and then call …  ( 27 min )

If an operating system–level datafile is lost in the primary database environment, this loss can be compensated using the existing datafile on the Data Guard server (provided that the files are compatible). In versions prior to 12c, the DBA needed to manually transfer the datafile from the Data Guard environment to the primary database at the OS level. In 12c, this task can be performed using a single RMAN command: — Primary: SQL> create tablespace tbs1 datafile ‘/u01/test1.dbf’ size 10m; SQL> !mv /u01/test1.dbf /u01/test2.dbf rman target / RMAN> RESTORE DATAFILE ‘/u01/test1.dbf’ FROM SERVICE stb; Starting restore at 05-JUL-16 using target database control file instead of recovery catalog allocated channel: ORA_DISK_1 channel ORA_DISK_1: SID=4 device type=DISK channel ORA_DISK_1: starting datafile backup set restore channel ORA_DISK_1: using network backup set from service stb channel ORA_DISK_1: specifying datafile(s) to restore from backup set channel ORA_DISK_1: restoring datafile 00005 to /u01/test1.dbf channel ORA_DISK_1: restore complete, elapsed time: 00:00:01 Finished restore at 05-JUL-16 Note: In this command, you can use the datafile number instead of its name: RMAN> RESTORE DATAFILE 5 FROM SERVICE stb;  ( 6 min )

개발에 있어서 가장 중요하게 생각하는것 중 하나는 '인터페이스'입니다. 새로운 API를 개발할때 가장 먼저 마주하게 되는 인터페이스는 바로 API 명세인데요. API 명세를 잘 정의하기 위해서는 프론트엔드 개발자와 백엔드 개발자간의 효율적인 소통이 필수적입니다. 그렇다면 어떻게 해야 효율적으로 API 명세에 대해 소통할 수 있을까요? 이러한 소통 방식은 평소에는 문제가 없지만 짧은 개발 일정 속에 제공해야할 API 수가 많을 경우, 문서와 실제 API가 불일치하거나 다른 작업의 영향으로 인해 빠르게 Mock API를 개발 환경에 제공하지 못하는 상황이 발생했습니다. 문제의 근본적인 원인은 Swagger를 단순히 코드 작성 후 자동으로 문서를 생성해주는 도구로만 생각하고 사용했기 때문입니다. 즉, 코드를 작성해야 Swagger 문서가 만들어지다 보니 API 디자인과 소통이 Code-First 방식으로 진행되었습니다. 코드와 동기화된 Swagger 문서는 서버가 배포된 이후에 갱신되기 때문에 API 논의 시점에 딜레이가 발생합니다. 이러한 딜레이를 해결하기 위해 별도의 문서를 만들어 공유해야 했습니다. 하지만 작성자마다 문서 포맷과 표현 방식이 달라 일관성을 유지하기 어려웠습니다. 뿐만 아니라 Swagger 문서가 생성되고 나서는 제대로 관리되지 않았기 때문에 신뢰할 수 없는 문서가 되어갔습니다. 결국 API 소통을 위해서는 코드보다 먼저 문서가 선행되어야 합니다. 이러한 접근 방식을 실현하기 위해 등장한 것이 바로 OpenAPI Specification을 활용한 API-First 개발 방식입니다. OpenAPI…  ( 11 min )

Router Blinking Red Light: Why It Happens & How to Fix It Fast You're in the middle of an important video call, streaming your favorite show, or about to submit work when you notice it—that menacing red light blinking on your router. Your heart sinks as you realize your internet connection is down. We've all been there, and it's incredibly frustrating. That blinking red light is your router's way of crying for help. The good news? In most cases, you can fix this yourself without waiting hours for tech support or paying for a service call. This guide will walk you through exactly what that red light means and how to get your internet back up and running. Need to get online immediately for work or an urgent matter? Don't waste time troubleshooting—chat with a verified tech expert right now…  ( 20 min )

Best practices for Drizzle ORM, migrations, seed scripts, and system data Seeding data is one of the most common tasks when building a backend—but if you're using Drizzle ORM, the right way to seed data may not be obvious at first. Should you put seed data inside migrations? This guide breaks down exactly how to seed data in Drizzle the right way, along with example SQL and TypeScript migrations. Seeding is how you insert: Essential system constants (roles, permissions, configuration defaults) Initial lookup tables Local development data Demo or sample data Drizzle handles schema migrations beautifully—but when it comes to seeding, there are a few rules that help you avoid headaches across environments. 1. Two Ways to Seed Data in Drizzle Drizzle supports seeding in two primary ways: A) …  ( 8 min )

INTRODUCTION TO THE COURSE Welcome to the first chapter of this course — and honestly, to the start of your game dev journey. I’m Kartik (also known as Dat_One_Dev), the person guiding you through this entire experience. I’m here because I’ve walked through the same confusion, the same “where do I even begin,” and the same endless Googling. So this course is built to be friendly, understandable, and beginner-proof. This is your first real step into the world of game development. Anyone who wants to start and has enough determination to stay till the end. Whether you’re someone who likes messing around in Scratch, someone who survived school projects in Excel, someone who has never coded a line in their life, or someone who only plays games and wonders, “How do people even make these?” T…  ( 8 min )

🚀 FossFLOW: A Lightweight and Powerful Tool for Isometric Diagrams Creating clear and expressive diagrams is essential for anyone working with software architecture, infrastructure, or DevOps. When you need something fast, modern, and reliable, FossFLOW stands out as an impressive open-source solution. Built as a PWA using React + TypeScript, FossFLOW is lightweight, runs 100% in the browser, works offline, and delivers a smooth and intuitive editing experience. You get: 🎯 Drag-and-drop editing 🔗 Smart connectors 💾 Autosave 🧩 Customizable icons ⚡ Fast performance, even in complex diagrams With 12k+ GitHub stars and continuous updates, the project shows real maturity and long-term reliability — something that matters when choosing tools for documentation or system design. For developers, FossFLOW is a strong option for: Documenting complex systems Building technical presentations Creating architecture diagrams with isometric styling Integrating a customizable diagram editor into your own product If you're looking for a modern, open-source alternative to traditional diagramming tools, FossFLOW is definitely worth exploring. 🔗 Here is my full analysis and visuals on LinkedIn:  ( 6 min )

Building Composable RLS: Enterprise Data Security on Autopilot GigAHerZ ・ Nov 25 #dotnet #architecture #csharp #security  ( 6 min )

Machine Learning can feel overwhelming when you see words like gradients, derivatives, tensors, eigenvalues, or linear transformations. But the truth is: ML math is built from a few core ideas that repeat everywhere. This post explains those ideas simply—no heavy formulas, just intuition you can actually understand. Linear Algebra — The Language of Data Machine Learning models think in vectors and matrices. A vector is just a list of numbers. [120, 80, 255] A matrix is just a bunch of vectors stacked together. Why do we need it? It lets models combine inputs efficiently. Neural networks use matrix multiplication billions of times. GPU acceleration exists because GPUs love matrix math. Intuition: Calculus — Learning = Changing Numbers Slowly At its core: Machine Learning = adjust n…  ( 8 min )

The Situation. It’s 2:30 PM. I’m staring at my IDE. The method is written. I just need to add a couple of conditions to an if/else block and push the commit. It’s a 5-minute task. But I’ve been scrolling up and down the same 20 lines of code for the last ten minutes. My brain feels like mush. In one background thread, I’m worrying about an email I forgot to send to a client this morning (it’s probably a fire by now). In another thread, there’s a low-level anxiety hum about a strange noise my car made yesterday. In a third thread, my partner asked me to buy groceries, and if I forget, it’s going to be a local Exception. My mental ping is spiking to 900ms. I can physically feel the cooling fan in my skull spinning at max RPM, but useful work output is null. I used to think I was just tired. …  ( 9 min )

Creating a professional presentation used to take hours for designing slides, organizing content, and making it something that the audience should catch, but it is not a challenging or time-consuming task if you know how to make presentations using an AI presentation maker. Today, AI tools can do most of the work for you, allowing you to focus on content rather than formatting. In this blog, I will tell you how you can transform a simple set of notes into a complete presentation using AI. Here are the reasons why I recommend Slide generation tools Save Hours: No need to spend time on structuring or building slides from the beginning; the AI does it all based on your prompt. Improve clarity: Helps you make your content clearer by simplifying it and putting it in order. Visual consistenc…  ( 8 min )

The annual ECMAScript update always breathes new life into the JavaScript ecosystem. As we look forward to ES2025, several exciting proposals have already reached "Stage 4," meaning they are officially ready to be included in the next version of the JavaScript standard. Today, let's explore five of the most impactful new features and see how they can simplify our code and boost our productivity. Promise.withResolvers() - The New Way to Create Promises In the past, creating a Promise that you could resolve or reject from outside its scope required some boilerplate code: // The old way let resolve, reject; const promise = new Promise((res, rej) => { resolve = res; reject = rej; }); // Used elsewhere in your code doSomething().then(() => { resolve('Operation successful!'); }); This …  ( 8 min )

Building a fully serverless application on AWS can feel overwhelming at first, but this hands-on project made the entire process clear, practical, and surprisingly enjoyable. In this guide, I walk through how I built HealthHub, a cloud-native healthcare appointment system powered by AWS Lambda, API Gateway, DynamoDB, Cognito, and a Vite-based frontend. From creating the VPC and EC2 workstation to deploying backend services with the Serverless Framework and finally launching the frontend app, this article documents every step — so you can follow along and build your own production-ready serverless project. Step 1: Creating A VPC N. Virgina (us-east-1) region. The VPC should have a public subnet with an 'Internet GateWay (IGW)' for public access of the Workstation EC2 instance to be created …  ( 10 min )

When we talk about real-time streaming at Red5, we often use the phrase “Streaming at the Speed of Thought.” It is not just a tagline. It is a very literal target and mission. In this blog you will learn how human perception, neuroscience, and physics shape what “real-time” actually means in practical streaming systems. Neuroscience tells us there is a gap between when something hits our senses and when we consciously register it. Depending on the task, the “Speed of Thought” typically falls somewhere between about 50 and 200 ms, with values around 150 ms often cited for simple reactions like a runner responding to a starting gun. Once you get under roughly 400 ms end to end, most people cannot consciously detect a delay, as long as everyone in the experience is seeing the same thing at ro…  ( 10 min )

Cypress has rolled out its latest release — v15.7.0 (Nov 19, 2025) — and it’s a meaningful upgrade for teams building fast, modern, and highly interactive web applications. The focus this time? Performance, stability, and better support for the future of frontend frameworks. This release introduces an important optimization: Why does that matter? Fewer unnecessary DOM checks Smoother runs on apps with large or frequently mutating DOMs Reduced risk of test crashes during high-frequency UI updates For teams working on real-time dashboards, multi-step workflows, or large enterprise UIs, this gives a noticeable stability boost. Component testing now supports Next.js 16, marking a big step for teams migrating to the newest version of the framework. A few important notes: Cypress continues to rely on webpack behind the scenes Turbopack support is still in progress, but the direction is clear If you're building with the latest Next.js architecture, the upgrade will feel much smoother This keeps Cypress aligned with the evolving React ecosystem — especially for teams already deep into app directory patterns and server components. 🎯 Why This Release Matters More reliable tests Faster interactions Better compatibility with modern stacks If you’re pushing a lot of DOM interactions, migrating to Next.js 16, or exploring Test Replay features, 15.7.0 is a highly recommended upgrade. 💬 What’s Your Move? Visit and Read More About end to end Cypress Test Automation  ( 7 min )

You can ask an AI what to make for breakfast, but not “what will Bitcoin be tomorrow?” I won’t argue - AI is the perfect assistant, a brilliant writer, and an amazing explainer of complex stuff. But anyone trying to use it as a “crypto market oracle” is basically signing up for “financial suicide on Saturdays.” Crypto is psychology and probabilities. AI is logic, statistics, and order. And until one learns to understand the other, I’ll keep repeating: AI - a fantastic tool. But a terrible trader. A regulatory update, an exchange hack, or a single massive wallet transfer can flip market direction within minutes. Tomorrow Trump might say Bitcoin is useless, and it could drop threefold. Can AI predict that? Only if Trump personally tells it. A 2024 survey of algorithms found that word-embedd…  ( 9 min )

Codex vs Claude Code: Complete Comparison of AI Coding Agents This comparison took me a very long time because the last two weeks in AI have been absolutely insane. A ton of new releases literally every few days: Gemini 3, Opus 4.5, Codex GPT 5.1, GPT 5.1 Codex Max. It was complete madness. It's impossible to make a comparison that won't be outdated in a month - that's how fast development of all these CLI tools and agents is going. The frontier is constantly shifting, so disclaimer right away: I'll be updating this comparison and will likely make second and third parts every few months. But these articles will become outdated very quickly. At least for now, I'll try to compare fully and at the end I'll say which subscription I've finally switched to for late 2025 - early 2026. First, it…  ( 23 min )

🛠️ TL;DR Action Items Audit your commits: Are you a net contributor to your team/society? Learn Energy: Read up on how energy constraints impact data centers and compute. Stay Curious: Train your own "neural net" (brain) to value curiosity over dogma. This post was inspired by the conversation between Nikhil Kamath and Elon Musk. Watch the full video here: Elon Musk x Nikhil Kamath - People by WTF What’s your take? Do you agree that "Truth" is the most critical safety feature for AI? Let me know in the comments!  ( 6 min )

There is a kind of pressure in tech that nobody really talks about. It is not the pressure of deadlines or difficult tasks. It is the quiet fear that if you stop learning for a moment, the industry will leave you behind. Every week, there is a new framework. Every month, there is a new tool. Every year, there is a new trend that everyone claims will “change everything”. And in the middle of all of that noise is you, trying to learn, build, grow and still breathe. The Pace Is Exhausting People outside tech sometimes believe developers enjoy every update. They think we spend all day exploring new tools for fun. But the truth is simpler. Most of us just want to be good at our work. We want to build things that matter. Yet the landscape moves so fast that even when you are doing your best, you…  ( 8 min )

I’ve been writing software for more than a decade now, and one of the most important lessons I ever learned came from a conversation early in my career. I told a colleague - a seriously brilliant engineer - “You know, the code in our app is kinda shitty.” He smiled, nodded like an old monk on a mountain, and said: “It’s shitty everywhere.” And honestly? And that’s fine. Really. Is “Clean Code”? (Be honest… nobody has one definition) Over the years I’ve heard more definitions than I can count. “Readable.” “Simple.” “Consistent.” “SOLID.” “Elegant.” “Whatever I personally would write if I had more time and fewer deadlines.” It’s all vibes. No one agrees on anything. Ask ten developers what clean code means and you’ll get twenty-seven different answers. Clean code isn’t really a standard - …  ( 13 min )

Hey everyone!👋 seem complicated at first. It might even feel like you're writing extra code compared to plain JavaScript, or that your code is already clear enough without it. But in reality, TypeScript is a tool that helps us write safe, cleaner, and more understandable code. catches you instantly and tells you exactly where things went wrong, long before the audience(your users) ever sees a problem. JavaScript on the other hand, is like walking that tightrope without a safety net, you move fast, but even a tiny mistake(a comma, a misspelled method, an unexpected type) can bring your whole program crashing down at runtime. If you're already using TypeScript, your code is in good hands👏, and hopefully this article will reinforce why adopting it was the right decision! introducing it in…  ( 15 min )

🚀 Launching Vyoma.co — A Small Start, But a Real Start | Built by a 16-Year-Old Hello dev community! 👋 Prasoon Jadon, a 16-year-old developer from India, and today I’m launching something small, simple, and meaningful to me — Vyoma.co. This is not a “big startup announcement”. Just a teenager putting all his tools, ideas, and creativity in one place — under a name that finally feels like a home. Vyoma is my personal startup space where I bring together: 🚀 Tools I’ve been building 📝 Articles I write 📚 My Wattpad books 🧰 My developer utilities 🧪 Experiments and side projects Think of it like my toolbox turned into a startup. I’ve been building random tools and APIs for a long time — some for fun, some for learning, some because my brain won’t stop giving ideas. Now, everything will live under one clean name: Vyoma. Because I wanted to stop waiting for “the right time”. I don’t have: a fancy office a huge team connections funding But I do have: curiosity ideas internet laptop and a room that I converted into a tiny office 😄 That’s enough to start. Right now: A clean, simple website A few tools A newsletter section (articles + Wattpad updates) A small home-built brand Nothing huge. real, and it’s mine. I’m not trying to be the next unicorn. learn, build, and grow — publicly. Vyoma will evolve as I do. 👉 https://vyomaco.vercel.app/ (Hosted on Vercel, shipping updates every week.) Thanks to everyone who inspired me, helped me, or unknowingly pushed me forward with their content and ideas. And thank you for reading this. – Prasoon Jadon  ( 7 min )

Multimodal Agents and Their Applications Author: Pranav S - 2025-12-01 Multimodal agents are AI systems that perceive, reason, and act using multiple input and output modalities (e.g., text, images, audio, and video). This article explains what multimodal agents are, common architectures, practical applications across industries, technical and ethical challenges, and future directions. A multimodal agent integrates information from different sensory or signal types to perform tasks that require understanding, decision-making, and interaction. Unlike unimodal models that operate on a single data type (like text-only language models), multimodal agents fuse representations across modalities to achieve richer situational awareness and more capable behaviors. Key capabilities typically inclu…  ( 9 min )

Terraform becomes truly powerful when you start using meta-arguments — special parameters that change how resources are created, managed, and related to each other. While Terraform syntax is easy to learn, mastering meta-arguments like count, for_each, and depends_on is what enables you to build dynamic, scalable, and production-ready AWS infrastructure. This guide explains each meta-argument in detail with clear examples, best practices, and common real-world scenarios where these features become essential. Understanding Meta Arguments in Terraform Meta-arguments are not specific to any resource type. Instead, they can be applied to any Terraform resource, module, or data source to control creation patterns and dependency behavior. The three foundational meta-arguments are: count → crea…  ( 8 min )

Previously, I talked about schema guides and versioning in Smart_Store; today, I will discuss schema validation during file import. Data is the lifeblood of modern applications. But here’s the truth: not all data is trustworthy. In fact, one of the biggest challenges developers face is ensuring that the information flowing into their systems is both authentic and safe. Most frameworks rely on schema validation alone. They check if a file has the right fields, types, and formats. That’s useful, but it’s not enough. A clever programmer, or even someone working within the same ecosystem, could craft a file that looks valid but isn’t truly recognized by the system. That’s why I designed Smart_Store with a different philosophy. Instead of relying only on schemas, Smart_Store enforces triple-loc…  ( 7 min )

Regular Expressions (RegEx) What is Regular Expression? search, match, and manipulate text based on patterns. re module. Why RegEx is Important? Validating emails, phone numbers Extracting IPs, URLs from logs Checking passwords Searching patterns Replacing characters Parsing large text files Important Functions in re Module Function Description re.search() Returns first match re.match() Match only beginning of string re.findall() Returns all matches re.split() Split string using pattern re.sub() Replace text Basic Patterns (Metacharacters) Symbol Meaning . Any character ^ Start of string $ End of string * Zero or more times + One or more times ? Zero or one {n} n times {n,m} n to m times [] Character set \ Escape character ` ` OR Character Classes Pattern Meaning \d Digits (0–9) \D Non-digit \w Word (letters, numbers, _) \W Non-word \s Space \S Non-space re.search() Example Returns match object if found re.findall() Example Output: re.match() Example start. re.split() Example re.sub() Example (Replace) import re Pattern Matching Examples 1.Find all digits 2.Find words starting with capital letter Email Validation Pattern import re user123@gmail.com" Phone Number Validation (10 digits) import re Password Validation At least 8 characters One uppercase One number import re [A-Z])(?=.\d).{8,}$" Extract IP Address Extract All Words Special Example: Find Vowels DevOps Use Case: Extract Error Lines from Log import re log = """ INFO: Started ERROR: Disk Not Found WARNING: Low Memory ERROR: Service Down errors = re.findall(r"ERROR.*", log) print(errors)  ( 7 min )

The over-the-top (OTT) platform has changed the landscape of digital entertainment and has largely focused on web and mobile over the last few years. But a major shift is happening. Customers are demanding seamless and seamless experiences on all screens. This is especially true with Smart TVs that give a better, more immersive theatre-like experience in the home. The growth of OTT App Development now goes beyond browsers and smartphones. Multi-device streaming services are becoming commonplace, and companies can no longer afford to ignore the potential of Smart TVs. These TVs are more than just a bonus. They're frequently the first screen to be used in people's houses. Smart TVs make up an increasing share of all video-related consumption. In 2025, more than 65 per cent of household TV us…  ( 10 min )

Three months into a new project, our builds were taking 12 minutes. Everyone complained. Nobody investigated. "That's just how it is with large codebases." A new teammate joined. Day two, she asked: "Why does this take so long?" We shrugged. She didn't. She spent an afternoon digging. Turns out we were bundling dev dependencies in production. One config change later: 3-minute builds. Twelve months of collective frustration, solved in an afternoon—because one person refused to accept "that's just how it is." "That's just how it is" is the most expensive sentence in software development. It sounds like acceptance. It's actually resignation. I've heard it everywhere: "Deployments always break on Fridays." (They don't have to.) "The staging environment is always down." (There's a reason.) "Thi…  ( 10 min )

Angular 21 replaced Karma with Vitest as the default testing framework. If you're used to Karma or Jest, this shift means new syntax, different patterns, and a fresh approach to testing, especially with Angular's signals and new control flow. Setting up Vitest in Angular 21 Testing standalone components with signals and computed signals Working with Angular's control flow syntax (@for, @if, @empty) Understanding fixture.detectChanges() for DOM updates Testing user interactions and edge cases We're testing a full-featured task manager: add tasks, mark them complete, filter by status, and delete them. All code is on GitHub. Angular 21 includes Vitest out of the box. Create a new project and you're ready to go: ng new angular-vitest-testing-guide cd angular-vitest-testing-guide Check package…  ( 14 min )

Angular 21 replaced Karma with Vitest as the default testing framework. If you're used to Karma or Jest, this shift means new syntax, different patterns, and a fresh approach to testing, especially with Angular's signals and new control flow. Setting up Vitest in Angular 21 Testing standalone components with signals and computed signals Working with Angular's control flow syntax (@for, @if, @empty) Understanding fixture.detectChanges() for DOM updates Testing user interactions and edge cases We're testing a full-featured task manager: add tasks, mark them complete, filter by status, and delete them. All code is on GitHub. Angular 21 includes Vitest out of the box. Create a new project and you're ready to go: ng new angular-vitest-testing-guide cd angular-vitest-testing-guide Check package…  ( 14 min )

The OpenTofu CLI is a command-line interface for managing infrastructure as code using the OpenTofu framework, a community-driven fork of Terraform. It allows users to define, provision, and manage infrastructure across multiple cloud providers using declarative configuration files. If you've used Terraform before, you'll feel right at home. OpenTofu mirrors much of the same functionality - commands like init, plan, apply, and destroy work just as you expect. You also get state management, resource graphing, and execution planning built right in. Want to go beyond the basics? Check out our OpenTofu tutorial or learn how to manage OpenTofu at scale. To install OpenTofu, download the binary from the official releases and add it to your system's PATH. Below are the installation steps: Visit t…  ( 11 min )

Cooked this Paperfolio template with V0 | Here’s the template you can use for free I’ve been experimenting with V0 - by Vercel, and I rebuilt the popular Paperfolio layout originally created by Brix Templates. → Template (Clone / Remix): → Live Preview: → Watch the walkthrough on X: Clean portfolio with hero section and highlight-style text blocks Minimal, bold layout focused on showcasing your work Reusable components built directly in V0 Easy to customize for personal portfolios or client sites Open the template → https://v0.link/paperfolio Click on “Open in V0” Make your styling tweaks Deploy on Vercel That’s it — you have a clean, modern portfolio site ready to ship. If you end up customizing this, I’d like to see what you build.  ( 7 min )

Preface Completing a full Telegram Bot management system in 48 hours was once unimaginable. But with Kiro, I made it happen. This article documents my real experience and thoughts using Kiro to develop the GoodBot project. Traditional development flow: Clarify → Check docs → Write code → Debug → Repeat. With Kiro, it became: Describe requirements → Kiro generates → Fine-tune → Done. This isn’t laziness—it shifts focus from “how to write” to “what to write.” I can now concentrate on product logic and user experience instead of getting bogged down by syntax details and API call methods. The core feature of GoodBot is bidirectional message forwarding—users send messages to the bot, which forwards them to admins; when admins reply, the response is automatically routed back to the original us…  ( 8 min )

In this post, I want to share my experience building a robust Japanese Flashcards application using Vanilla TypeScript, HTML, and CSS, all while pair-programming with Antigravity, an advanced AI coding assistant from Google DeepMind. The objective was straightforward but strict: create a lightweight, browser-based application to help learn Japanese vocabulary. The Constraints: No Frameworks: No React, Vue, or Angular. Just pure DOM manipulation. No Bundlers: No Webpack or Vite configuration hell. Just the TypeScript compiler (tsc). Type Safety: Strict TypeScript usage (no any). Since we weren't using a framework, we had to structure the app carefully to keep it maintainable. We opted for a simple separation of source and distribution: /src ├── data.ts # Vocabulary data and t…  ( 8 min )

You’ve shipped a killer feature. Your API has sub-10ms latency. Your platform solves a real, painful problem. But in a crowded B2B tech landscape, how do you prove it to skeptical developers and CTOs? Enter social proof. It's the assert() statement for your marketing claims. Two of the most powerful forms are the data-driven case study and the emotive video testimonial. But which one actually moves the needle and boosts conversions? Let's ditch the marketing fluff and analyze this like a system design problem. We'll break down the architecture, pros, and cons of each to help you build a more effective B2B content marketing engine. A case study is the technical whitepaper of a customer's success. It’s a structured, often long-form document that follows a familiar pattern: Problem, Solutio…  ( 9 min )

SMEs lose countless leads every day because customers reach out on WhatsApp, Instagram, or their websites and no one responds in time. Tulia AI was born to solve exactly that problem. I joined the Kiroween Hackathon with an idea and a rough vision. Using Kiro, I turned that vision into a working MVP in less than a month. I used Kiro’s structured prompt blocks to break down features like: Tenant onboarding WhatsApp conversation flows Knowledge base management Analytics dashboards SME product/service catalogue structures Kiro didn’t just rewrite requirements, it refined them into production ready definitions I could immediately implement. Instead of generating random boilerplate code, Kiro respected my stack choices: Django REST backend Multi-tenant RBAC WhatsApp API integration LLM Integrat…  ( 7 min )

TikTok processes over 140 billion video views every month. But here's what most creators miss: nearly 40% of Gen Z now uses TikTok as their primary search engine, not Google. Let that sink in for a second. While everyone's obsessing over the For You Page algorithm, there's an entire search ecosystem on TikTok that most brands completely ignore. And honestly? That's leaving a massive amount of discovery potential on the table. I've spent the past year analyzing what actually works for TikTok search optimization. Not the theory. Not what some guru said in a course. What actually moves the needle when you check the analytics on Tuesday morning. Here's what I've learned. TikTok's search has gotten surprisingly sophisticated. It indexes captions, on-screen text, audio, hashtags, and even spoken…  ( 12 min )

Check out this Pen I made!  ( 5 min )

If you write online for a living (or even just for fun), you already know the pain: the research takes ages, outlines eat up your focus, and by the time you’ve finished editing, the topic has almost gone cold. In 2025, AI tools are less about “magic text generators” and more about full-on writing companions that help with research, SEO, drafting, and even publishing. This isn’t about replacing writers. It’s about cutting out the repetitive work so you can spend your energy on ideas, analysis, and storytelling. In this blog, we’ll walk through some of the most useful AI tools for blog and content writing in 2025, how they differ, and how to combine them in a real-world workflow. Modern AI tools do much more than spit out paragraphs. Used properly, they can help you: Save time on research an…  ( 13 min )

Hi folks of Dev community, a long time has passed since our last update. This community has shown so much love to our product that I wanted to give you an update on the state of our self-hosted analytics dashboard project. We’ve revamped our user experience and our user interface from zero to make it extremely compelling. We’ve added powerful features to make it complete, and everything is self-hostable with one command: “docker compose up” and you’re done… a dashboard that is easy to use and powerful, without the hassle of setting it up in any technology you’re currently using. Self-Hosting Made Simple With Docker Everything is self-hostable with one command: docker compose up And you're done. Visitors tracking Product analytics & custom events tracking Customizable repo…  ( 7 min )

You've probably heard about Content Security Policy (CSP) in the context of web security. But what is CSP for, and is it appropriate for your project? At its core, CSP is a set of security practices and a standard that can be used to tell browsers which resources your website will be allowed to load and execute. Think of it as a security guard standing at the front door of your web page—it only lets scripts, styles, and other resources inside if they are on the guest list. The way you tell the web browser which resources are considered safe to allow in is with a Content-Security-Policy HTTP header. An example CSP configuration heading might look like this: Content-Security-Policy: default-src 'self'; script-src 'self' https://apis.google.com This configuration tells the browser: "By defau…  ( 12 min )

Release 3.2.1 · hmpl-language/hmpl · GitHub Combining types into one: type HMPLTemplateFunctionOptions = HMPLIdentificationRequestInit[] | HMPLRequestInit | HMPLRequestInitFunction; And also speeding up the code execution github.com  ( 6 min )

Hey fellow devs! 👋 I recently launched a side project that solves a personal pain point I've had for a while: removing watermarks and ending screens from CapCut/TikTok videos without jumping through hoops. Most tools out there require a signup, payment, or they simply "blur" the watermark (which looks terrible). I wanted to build something cleaner, faster, and 100% free. Here is the result: VideoWatermarkRemove.com I wanted to keep it lightweight and fast, so I went with: Frontend: React + Vite (for that instant HMR) Styling: Tailwind CSS (Dark mode by default, obviously) Auth: Firebase Authentication (Google Sign-in) Hosting: Vercel Core: AI Inpainting models for object removal It wasn't all smooth sailing. I spent about 3 hours debugging a weird Firebase Auth 400 Error when deploying to production. Locally, everything worked fine. In production? Broken. .env variables. Everything looked correct. The culprit? Vercel deployments and Browser Cache. authDomain environment variable in Vercel settings but forgot to trigger a Redeploy. Even after I did, my Chrome browser was aggressively caching the old index.html which referenced the old config. Lesson learned: Always hard refresh (Ctrl+Shift+R) and verify your build variables in the "Network" tab before losing your mind! 😅 Instead of a simple Gaussian blur, the tool uses an AI inpainting approach. It detects the watermark area (like the bouncing TikTok logo or the static CapCut ending) and attempts to "reconstruct" the background pixels based on the surrounding context. This is currently an MVP. I'm planning to: Improve the mobile layout (it's a bit clunky on small screens right now). Add support for batch processing. Optimize the AI model speed. I'd love to get your feedback on the UI/UX and the removal quality. Feel free to roast my code or give suggestions! Try it out here: https://www.videowatermarkremove.com/ Thanks for reading!  ( 7 min )

Check out this Pen I made!  ( 5 min )

7 Ways Digital Transformation is Powering Smarter Enterprise Growth in 2026 If you work in tech long enough, you start noticing a pattern: every time a company finally modernizes its systems, teams suddenly move faster, decisions get sharper, and customers become easier to retain. 2026 is showing us the same truth — just louder. Here’s a grounded, practical look at how transformation is driving real growth this year — not in buzzwords, but in outcomes. Enterprises used to drown in data lakes that were basically cold storage. Business teams get insights instantly Developers can plug into cleaner APIs Decision cycles shrink from weeks to minutes Better decisions = better growth. Simple as that. Automation in 2026 isn’t about “robots taking over.” We’re seeing automation improve: Ticket tri…  ( 7 min )

If email marketing is the engine that drives online business, your email list is the fuel. But here’s the secret most marketers ignore: your email list is decaying—every single day. A clean, verified email list. Email providers like Gmail, Outlook, and Yahoo are tougher than ever. Their filtering systems analyse sender behaviour relentlessly. If they detect certain patterns, your emails stop going to the inbox and go straight to spam. Too many bounces Wasted marketing dollars A Bulk List Validation Tool is software designed to scan your entire email list—hundreds, thousands, or millions of contacts—and verify which ones are safe to send to. Invalid addresses SMTP handshake Email list hygiene is more than cleaning your list "once in a while". It is a long-term habit that keeps your list healthy, your domain safe, and your campaigns profitable. The marketing consequences are bigger than most brands realise: A bounced email checker identifies which addresses will bounce before you send to them. It scans your emails using: A powerful email deliverability software does more than verification. It enhances every layer of email marketing success. Many brands verify once—and that's their biggest mistake. You must verify your list: To maintain excellent email list hygiene long-term, follow these guidelines: A well-verified list gives you: Your email list is your business asset—but only if it’s clean. Bouncify make the entire process fast, safe, and effortless.  ( 9 min )

Say Goodbye to JSON Bloat: Introducing TOON, the Token-Efficient Format for LLMs If you’re building applications that rely heavily on Large Language Models (LLMs) — whether for RAG systems, data analysis, or multi-agent workflows — you’ve likely encountered a silent killer of efficiency and budget: token bloat. Traditional data formats like JSON, while perfect for machine-to-machine communication, are unnecessarily verbose for LLMs. Every repeated key, every brace ({}), bracket ([]), and quote ("") consumes valuable tokens, increasing your API costs and quickly eating into your context window. The solution? TOON: Token-Oriented Object Notation. What is TOON? Token-Oriented Object Notation TOON is a modern data serialization format designed from the ground up to solve the token efficien…  ( 8 min )

Is your repository a ghost town? Discover why the README.md is the most critical file in your project. Imagine you are shopping for a new laptop online. You click on a product that looks promising, but the page has no photos, no spec sheet, and no price. It just has a button that says “Buy Now.” Would you click it? Of course not. You have no idea what you are getting into. In the world of software development, your GitHub or GitLab repository is the product page, and your README.md is the sales pitch. Too many developers fall into the “Black Box” trap. They spend hundreds of hours writing elegant, highly optimized algorithms, pushing perfectly tested code to the src folder, and then leave the root directory empty. They assume the code speaks for itself. Code never speaks for itself. Unless…  ( 10 min )

iptables serves as Linux's primary firewall tool, leveraging the Netfilter framework to filter, modify, and route network packets across filter, NAT, and mangle tables. It processes packets through five key chains: PREROUTING, INPUT, FORWARD, OUTPUT, and POSTROUTING, enabling precise control over traffic flow. Netfilter hooks into the kernel's networking stack, evaluating rules in chains before routing decisions. PREROUTING handles incoming packets immediately upon interface arrival for destination modifications, while POSTROUTING adjusts outgoing packets just before transmission, ideal for source NAT. Rules match packet attributes like IP, port, and protocol, jumping to targets such as ACCEPT, DROP, or DNAT/SNAT. Basic INPUT/OUTPUT rules secure local access: # Default drop policy iptables…  ( 7 min )

Yeah, I know. This is my third time saying "Day 0." But today is Day -1. Tomorrow is the actual mark. Today is just recap. Before the mental breakdowns. Before the relationship mess. Before the friendship drama. Before I lost three months to trying to be normal. I was actually working on stuff: Frontend development - Building interfaces, making things that work and look decent UI/UX design - Learning how to make things not just functional but actually good to use Market thinking - Very little polish here, barely scratched the surface, but it's something Python - The language that actually makes sense Linear regression - Basic ML stuff, understanding how models learn Ridge regression - Going deeper into regularization and optimization Project MUTINY - My main thing, still in progress, gonna…  ( 7 min )

Watch on YouTube  ( 6 min )

Let me assure you, I am no luddite. I use electricity, computers, the internet, and I develop websites as a professional web developer. I use AI when it makes sense, I use Google and StackOverflow, GitHub and digital notes online. However, many fellow developers, customers, and users seem to fall for a misunderstood promise of the current tech and AI hype, failing to understand marketing patterns, hype cycles and psychological bias. Constructive Criticism like 8 Alternatives to AI for Coding and Creativity, Google Alternatives and StackOverflow alternatives for web developers already show that it's no solution to fall back for yesterday's tool to avoid today's problems. 8 Alternatives to AI for Coding and Creativity Ingo Steinke, web developer ・ Jul 2 #webdev #programming #…  ( 8 min )

AWS provides several ways to keep your workloads connected without exposing them to the public internet. One of the most useful tools for this is the VPC Endpoint, which enables private access from your VPC to AWS services over the AWS internal network. There are two main types: Gateway Endpoints and Interface Endpoints. Each endpoint type serves a different purpose, so choosing the right one matters for security, performance, and cost. A VPC Endpoint creates a private path so your resources can reach specific AWS services without requiring: Public IPs Internet Gateways NAT Gateways Direct internet routing Both endpoint types enable private connectivity, but they operate differently inside the VPC. Gateway Endpoints are the simpler option. They work by adding routes to your route tables so…  ( 8 min )

We are obsessed with our tools. We debate VS Code vs. Cursor, we optimize our dotfiles, and we buy $300 mechanical keyboards to type 5% faster. But what if the biggest bottleneck to your code quality isn't your IDE, but your biology? I used to be that guy. In my years at several major internet companies, my "productivity stack" was simple: Caffeine, Dark Mode, and Noise-Canceling Headphones. I treated my body like a container for my brain—a container that was annoying because it needed sleep and food. I wore my "cave dweller" status like a badge of honor. But looking back, I wasn't optimizing for output; I was optimizing for burnout. Developer working in a dark room with code on screen There's a pervasive lie in the tech industry: Time at desk = Output. We believe that if we step away fro…  ( 7 min )

Introduction – Why AI and Cloud Matter in 2025 Have you ever wondered what happens behind the scenes when you upload a file, stream a video, or use an app that just works? By 2025, cloud technology is no longer just about storage or computation. It’s becoming intelligent, thanks to AI. From my experience helping organizations migrate workloads, optimize infrastructure, and deploy applications, one thing is clear: AI is no longer an optional add-on. It is becoming the backbone of modern cloud engineering. In this article, I’ll walk you through how AI is transforming cloud engineering, share real-world examples, and give practical tips you can implement today. Cloud adoption continues to grow, with more enterprises embedding AI into core operations. Some key reasons include: AI-enabled clo…  ( 8 min )

Veeam Backup for Microsoft 365 is a comprehensive solution designed to protect your organization’s critical data stored within Microsoft 365 services, including Exchange Online, SharePoint Online, OneDrive for Business, and Microsoft Teams. By providing robust backup, restoration, and recovery capabilities, it ensures that your data is safe, accessible, and fully compliant with legal and regulatory requirements. Microsoft 365 provides powerful cloud productivity tools but operates on a shared responsibility model, meaning that while Microsoft safeguards its infrastructure, protecting your data remains your responsibility. Veeam fills this gap by offering a reliable, flexible, and user-friendly backup solution tailored to meet the demands of modern businesses. Key Features of Veeam Backup f…  ( 8 min )

We all love building workflows in n8n. But let’s be honest: there is a huge gap between a simple "Hello World" chatbot and a robust, production-ready AI Agent that can handle real-world complexity. I spent the last few weeks pushing n8n to its limits to solve four specific headaches I faced in automation: Memory, Dynamic Scraping, Content Analysis, and Reporting. Here is a breakdown of the 4 advanced agents I built, the tech stack I used, and how they solve problems standard workflows can't. The "Amnesia" Problem (Long-Term Memory Agent) The Problem: Most LLM chains in n8n forget the user's context as soon as the execution ends. The Solution: I built an agent that mimics human memory. How it works: Instead of relying solely on window memory, this workflow connects to Google Docs. The Logic…  ( 7 min )

TL;DR: A production-grade blueprint for running Virtual Machines on Azure Kubernetes Service (AKS). This project demonstrates how to unify container and VM operations while solving the "Identity Gap" using Azure Arc—enabling true Azure AD SSH authentication with zero manual key management. View the Complete Project on GitHub Table of Contents The Problem: Operational Fragmentation What is KubeVirt? Architecture Overview The Identity Challenge: No IMDS Multi-Tenancy & Security Implementation Deep Dive Deployment Guide Technologies & Skills Demonstrated Here's a truth nobody talks about at cloud conferences: most enterprises aren't running everything in containers. They're not even close. While we celebrate microservices and Kubernetes, the reality on the ground looks differ…  ( 12 min )

Last weekend, I stumbled upon a browser-based game that completely blew me away. In just a few clicks, I was immersed in a fully interactive 3D world. No downloads. No installs. Just pure, instant fun. That’s when it hit me—modern game development frameworks like Phaser, Three.js, and Babylon.js are changing the game (literally) for developers, hobbyists, and indie creators. These tools make it possible to bring games to life faster, smoother, and across multiple platforms—all from your browser. If you’ve ever dreamed of building a game but felt intimidated by complex engines or massive codebases, this is your sign to start now. 🌟 Why Game Development Frameworks Are a Game-Changer Traditionally, creating games required heavy engines, steep learning curves, and time-consuming setups. Brows…  ( 8 min )

The 8-week Djangonaut period has come to an end. When I first started, I was worried about whether I could do well due to my poor English skills, but the warm community and my teammates helped me successfully complete the program. Djangonaut not only reduced my fear and unfamiliarity with Django open source contribution but also provided even greater value and inspiration. Initially, when I decided to contribute to Django, the process felt unfamiliar and daunting because, unlike other projects, Django's issue tickets are managed on a separate page. Before Djangonaut, I had actually tried to contribute to a promising issue, but I quickly gave up because the discussion was too deep and complex. However, during the Djangonaut program, my mentor recommended suitable tickets, making it much eas…  ( 8 min )

This post is my submission for DEV Education Track: Build Apps with Google AI Studio. ✨** ** 1. Main Google AI Studio Prompt: text Create a web application called 'VisionVerse' with the tagline 'Where Images Whisper Poems'... Custom Instructions for Consistency: text [# VisionVerse App Custom Instructions Always use TypeScript with React functional components Use modern React hooks (useState, useEffect, useContext when appropriate) Implement proper TypeScript interfaces for all props and state Follow Google's Material Design principles with poetic adaptations Use responsive design (mobile-first approach) Use a color palette: primary (#E6E6FA - lavender), secondary (#FFFDD0 - cream), accent (#9C89B8 - muted purple) Implement CSS modules for component styling Use Google Fonts: "Playfair Disp…  ( 11 min )

Meet Taurus AI — The JD-Specific, AI-Powered CV Builder for Developers Generic resumes often fail to grab attention, especially when applying for software engineering, full-stack development, DevOps, data science, AI/ML, cloud engineering, cybersecurity, and other tech roles. A custom, job-description-optimized CV dramatically boosts visibility with recruiters, hiring managers, and ATS systems. Taurus AI creates a fully personalized, AI-optimized, JD-matched, keyword-rich CV tailored to the exact role you’re applying for. Whether you’re targeting backend development, frontend engineering, mobile development, data engineering, product roles, or tech startups, the tool aligns your skills with the job description automatically. 🔹 AI-optimized CV for developers If your resume keeps getting ignored or filtered out by ATS scanners, this tool can make a major difference. 👉 Try Taurus AI here: https://portal.thetaurus.ai/sign-up  ( 6 min )

It is a common saying that "clients don't care about the stack you use for them" but I disagree. I think most devs don't know how to tell their clients to realise they care. You have a clear advantage if your clients are technical and you're able to communicate the benefits they will gain as a result of you skills in the stack and the general advantage of the stack in as much as you understand your clients. Being able to communicate your stack to your clients with the language they understand gives you advantages over someone who doesn't tell their clients the stack they use because they think clients don't care. For example, you can tell your client you're going to use React.js, GCP or AWS by saying: "We will build your app with the same technologies that power great companies like Google and Facebook so that you can sleep well at night." Saying this makes them realise you're trying to make sure they have stable apps like Google and Facebook. Wait! I strongly believe it is unethical to make this kind of claim when you're not skillful, willing and able to deliver. Above all, the point I am trying to make is that clients care about the stack you use for them if you know how to tell them. What do you think? If you agree, please give more insights on how to gain more advantages by telling you clients the stack you use but if you disagree, feel free to raise your case. Cheers!  ( 7 min )

Today, I want to share a brief list of MCP servers that I use daily in my work and projects. What It Does GitHub MCP Server enables you to work with GitHub through an AI assistant: view code, search for files, read and summarize documentation in repositories, manage issues and pull requests, and get an overall view of projects. How I Use It I read and create documentation in repositories. I add to or create new technical documentation. I analyze pull requests (what has changed, what risks are involved, what needs to be amended) with the help of rules that impose code style restrictions. I create pull requests. I look at issues that are relevant to me to understand what to prioritize. This significantly reduces the number of switches between the IDE and the browser, especially when you nee…  ( 8 min )

Health Connect is Google’s unified API for managing health and fitness data on Android. In this guide, we’ll walk through integrating Health Connect inside your Android + React Native app. One central location for all health data. Compatible with major apps and devices. User-controlled permissions to ensure privacy. Secure storage protected by device lock. Note: Health Connect is available only on Android. iOS uses HealthKit, which is not related. A React Native project set up (0.71+ is recommended). Android Studio installed. A device or emulator running Android 13 or higher (the Health Connect app is needed on Android 13). Screen lock enabled on the device. 1. Installing Health Connect For Android 13 (API 33) and lower: Download the Health Connect app from the Play Store. For Android 14 a…  ( 8 min )

Illuminating Bioprocesses: Dynamic Control with Light Imagine trying to steer a race car with only two settings: full throttle or brakes slammed. No finesse, no subtle adjustments. That's often how we've been controlling biological processes, leading to suboptimal results. But what if we could finally modulate cellular behavior with the precision of a dimmer switch? The core concept is dynamic light modulation for controlling genetically engineered cells. Instead of just blasting cells with continuous light, we precisely cycle the light source on and off, thereby adjusting cell responses with much greater resolution. Think of it like dithering in digital photography – creating shades of gray from black and white dots. This allows us to fine-tune protein production and metabolic pathways …  ( 7 min )

For the Kiroween Halloween hackathon, I set out to build something ambitious: an immersive, narrative-driven horror web experience where users "make a deal with the devil." The catch? I wanted it polished, production-ready, and atmospheric—not just a themed website, but a complete journey into the underworld. The vision: A four-screen experience with custom animations, horror music, video transitions, and a cohesive dark aesthetic. The timeline: Days, not weeks. 🤖 Enter Kiro AI The Development Flow Foundation (30 minutes) Me: "Set up Vite + React + TypeScript with Tailwind CSS. Kiro: Generates complete project structure, configs, and theme Component Building (Iterative) Me: "Create a landing page with graveyard background, Kiro: Builds LandingPage component with Framer Motion animations Me: "Now add a 5-step form where the devil interrogates the user." Kiro: Creates DealFlow with validation, transitions, and Enter key support The Magic Moment The most impressive generation was the HellGateTransition component. I described wanting "stone doors that slide open with hell light behind them." Kiro generated: Two animated doors with realistic textures 💡 Key Learnings Iterative Refinement Build → Test → Refine → Repeat. Each conversation built on the previous work. Trust the AI for Implementation I focused on what I wanted, Kiro handled how to build it. The Results 🎯 The Technical Stack Custom skull cursors (💀 → ☠️) 🎓 Lessons for AI-Assisted Development Be the Architect Iterate Quickly Learn from the Output Focus on What Matters 🔮 The Future Crafting the perfect horror atmosphere 💭 Final Thoughts The question isn't "Can AI replace developers?" It's "How can developers leverage AI to build better experiences faster?" For me, the answer is clear: Partner with AI, focus on creativity, and ship amazing products.  ( 8 min )

In university, we learned Java and C++. When I started looking at web development, the number of choices was overwhelming. Django? Laravel? Spring Boot? Ruby on Rails? Eventually, I settled on the MERN Stack (MongoDB, Express, React, Node.js). Here is why I think it’s the best choice for new developers in 2024. 1. One Language to Rule Them All 2. JSON is Native 3. The React Ecosystem Conclusion Is MERN perfect? No. SQL is often better for complex data relationships. But for building a portfolio and getting hired fast? It’s hard to beat.  ( 6 min )

In today’s world, we are constantly connected to each other through various means of communication. One of the most popular methods of communication is through email, which allows us to send and receive messages at lightning-fast speeds. However, in the vast ocean of emails, there exists a lesser-known world that many people may not be aware of – the world of restricted email inboxes. In this tutorial, we’ll show you how to access restricted mailboxes and unblock restricted entities. Open the Microsoft 365 Defender portal. At the left menu, and below “Email & collaboration“, click on “Review“, and finally click on “Restricted entities“. Find and pick users you wish to unblock on the Restricted Entities page by clicking on them, then from the above ribbon click on “Unblock“. Follow the guide and unblock the user. In conclusion, restricted email inboxes may not be widely known, but they play an important role in maintaining secure and organized communication in various settings. They offer a level of protection for sensitive information and ensure that only authorized individuals have access to it. However, they also come with their own challenges, which users need to be aware of. As we continue to navigate the world of digital communication, it is important to understand and appreciate the various methods used to safeguard our information.  ( 6 min )

Explore how data lineage transforms enterprise AI and machine learning models by ensuring data quality, compliance, and security through Role-Based Access Control (RBAC) integration. Discover best practices for tracking data flows to enhance model reliability and decision-making. In the fast-evolving landscape of enterprise technology, data lineage emerges as a cornerstone for building robust artificial intelligence and machine learning systems. This concept maps the journey of data from its origins through various transformations to its final applications, providing transparency that fuels innovation. Enterprises increasingly rely on such visibility to mitigate risks associated with complex data pipelines, where inaccuracies can lead to flawed insights and costly errors. Consider the i…  ( 9 min )

In AI regulation news today, governments worldwide are rapidly developing new rules to govern artificial intelligence. Global legislative activity surged in 2024–2025, with AI-related bills and proposals increasing by over 21% across 75 countries. At least 69 nations are pursuing more than 1,000 AI policy initiatives as of early 2025, reflecting diverse approaches. For example, the European Union’s risk-based AI Act sets strict standards for high-risk systems (e.g. requiring risk assessments and human oversight), while China’s 2023 AI rules mandate content labeling and limit prohibited outputs. In contrast, the U.S. currently relies on executive orders and sectoral guidelines rather than a single AI law. Internationally, bodies like the OECD and Council of Europe have introduced common AI …  ( 13 min )

Setup sqlite3 Задача Скачайте базу данных packages.db Откройте Powershell приложение Выполните команду cd Загрузки Откройте базу данных используя sqlite3 sqlite3 packages.db # Откройте базу данных используя sqlite3 sqlite3 packages.db SQLite version 3.51.0 2025-06-12 13:14:41 Enter ".help" for usage hints. sqlite> # .tables показывает все таблицы которые у нас имеются в базе данных sqlite> .tables addresses drivers packages scans sqlite> select * ...> from addresses ...> limit 5; id address type ----- ------------------------------ --------------- 1 7660 Sharon Street Residential 2 60 Drake Place Residential 3 88 City Point Court Residential 4 266 Dorchester Avenue Res…  ( 9 min )

description: Problemas técnicos reales al desplegar servidores MCP en Cloud Run Revisé un tutorial sobre desplegar servidores MCP (Model Context Protocol) en Google Cloud Run. Encontré varios problemas técnicos críticos que impiden su funcionamiento real. Error Fatal: El tutorial usa StdioServerTransport en Cloud Run. Por qué falla: Cloud Run requiere HTTP/HTTPS StdioServerTransport usa stdin/stdout Resultado: servidor no funcional ✅ Solución: import { SSEServerTransport } from "@modelcontextprotocol/sdk/server/sse.js"; import express from "express"; const app = express(); const PORT = process.env.PORT || 8080; const server = new Server({ name: "weather-mcp-server", version: "1.0.0" }); app.get("/sse", async (req, res) => { const transport = new SSEServerTransport("/messages", re…  ( 8 min )

NeoBASIC is a programming language I'm creating, still in the design phase, aiming to provide a better development experience while transpiling code into a compiled (and general-purpose) language. It's somewhat of an elastic language, combining the best of both worlds: Python (prototyping speed) and C++ (execution speed). The mention of BASIC is due to its faster learning curve, an effort I've been making to ensure the language can be used by computer science beginners. In the 70s and 80s, computer magazines contained BASIC programs for enthusiasts to type into their personal computers and calculators. These were short programs, often scripts or small routines. Some contained dozens of lines and required more time and care in typing. But this was never a problem for those who enjoyed progr…  ( 10 min )

AI didn’t replace how I code — it reshaped the habits around it. After months of using Copilot, ChatGPT, Cursor, and Windsurf daily, I realized the biggest gains weren’t from AI generating entire functions, but from the small workflow improvements I started forming along the way. These are the 10 AI habits that genuinely made me a faster and clearer developer — with real examples. 1. Starting Every Task by Asking AI to Break It Down Whenever I start a feature, I ask AI: “Break this into clear, actionable steps.” This one habit alone reduces confusion and prevents hallucinations. I even wrote about a similar trick in my article on a one-line hallucination fix for AI bots — and it still works. A clean plan turns even a vague feature request into something I can execute confidently. 2. Ask…  ( 8 min )

Why Law Firms in Industrial Property Protection Must Once Again Become the Vanguard of AI Sovereignty Guest article by Oliver Otto The legal profession has never been hostile to technology. In fact, it has long been one of the most economically rational and tech-forward fields. While other industries were still debating digitization, law firms had already integrated digital tools into daily operations. Word processing replaced typewriters for efficiency. Dictation became digital to save time. Speech recognition multiplied productivity. And in industrial property protection—especially in patent and trademark practices—automated deadline management, software-supported workflows, and database-driven IP administration were standard long before the term legal tech even existed. Earlier waves …  ( 8 min )

I Was Erased by the System, So I Built MMUKO OS The World’s First Neurodivergent, Ontology-First Operating System. Nnamdi Michael Okpala – OBINexus 1 December 2025 I’m not supposed to be alive. Between 2019 and 2025 the British state ghosted me so thoroughly that I became a living glitch: Housing files “lost” six times Priority-need letters ignored for 1,461 straight days Doctors who wrote “severely autistic, at risk of homelessness” and then never answered again A benefits system that demanded I prove I was dying while refusing to give me money to eat They didn’t just fail me. They erased me on purpose. So I did the only thing an autistic Igbo boy with 14 senses and nowhere to sleep can do: I stopped begging their 7-dimensional world to see me and started coding a new one that ca…  ( 8 min )

This shift isn’t being led by traditional enterprise vendors. At CitrusBits [https://citrusbits.com/], we work on healthcare engineering challenges daily. In this post, we’ll break down how developers are building the technical foundation of modern MedTech. AI adoption in healthcare is no longer experimental. ✔ Medical Imaging & Diagnostics CNNs + transformer-based models identifying anomalies in MRI, X-Ray, CT, and ultrasound datasets. ✔ Predictive Analytics ML models forecasting: patient deterioration sepsis risk hospital readmission appointment no-shows clinical resource allocation ✔ NLP for Clinical Data LLMs + medical-specific NLP models used for: automated clinical note summarization coding automation (ICD-10/CPT) medical transcription entity extraction from patient documen…  ( 8 min )

RTF (Rich Text Format), as a cross-platform compatible rich text format, is widely used in document exchange and content storage scenarios. However, for practical requirements such as document preview, plugin-free display, and content archiving, converting RTF to image formats like PNG and JPG is a more optimal solution. This article focuses on C# development scenarios, starting from technical principles, and details the implementation logic, key steps, and optimization directions of RTF-to-image conversion to provide reference for development practice. The essence of RTF-to-image conversion is converting structured rich text data into pixel-level image data through a rendering engine. Its core process can be broken down into three key links, and the technical logic revolves around this ma…  ( 9 min )

Enhanced Security for Remote Access. In the world of Linux system administration and cybersecurity, how you access your server is just as important as what you do on it. Secure Shell (SSH) is the industry standard for remote administration, but relying solely on user passwords can leave systems vulnerable to brute-force attacks. A Linux machine (I am using Kali Linux in this demonstration). and start the SSH daemon(sshd) sudo service ssh start sudo service ssh status We will use ssh-keygen to create our cryptographic keys. In my implementation, I am using the ED25519 algorithm, which is currently considered more secure and faster than the older RSA standard. Press ENTER to accept the default location (/home/username/.ssh/id_ed25519). You will be asked for a passphrase(you can decide to enter kali). Crucial Security Step: While you can leave this empty, it is highly recommended to enter a strong passphrase. Inspecting the Keys Navigate to the hidden SSH directory to verify your keys were created: Navigate to the directory and ls to see the files created. For the server to recognize you, your public key must be added to the server's authorized_keys file. Since I am simulating this locally, I will copy the key to my localhost. ssh-copy-id -i ~/.ssh/id_ed25519.pub your-current-user@127.0.0.1 Success Output: Number of key(s) added: 1 To ensure the key was copied correctly, you can cat the authorized_keys file: using cat authorized_keys Now, log out or open a new terminal and attempt to SSH into the machine again: using ssh localhost At this point, enter the ""passphrase"" you entered above. By disabling password logins and relying on SSH keys, you significantly reduce the attack surface of your Linux servers. This exercise is a fundamental skill for any aspiring SysAdmin or Cybersecurity professional.  ( 7 min )

AI prompting has grown from a neat experiment into a skill that genuinely helps us work better. As AI becomes more capable, knowing how to communicate with it clearly isn’t just for engineers anymore — it’s useful for anyone who creates, analyzes, or builds things. This article is a practical, example-first guide to prompting, with simple visuals and real scenarios you can apply right away. A lot of the ideas here were inspired by Chip Huyen’s book AI Engineering, which approaches AI with a balance of clarity and practicality. Her perspective helped shape the way I think about prompting as a communication skill, not just a technical trick. Prompting is more than "asking AI a question." It is: How you frame a task How you guide the model's behavior How you structure information How you set …  ( 9 min )

AI prompting has evolved from a curiosity into a professional superpower. As AI systems become more capable, the ability to communicate with them clearly and strategically has become essential - not just for engineers, but for creators, analysts, managers, and entrepreneurs. Below is a practical, example-driven guide to prompting, enriched with visuals and real-world use cases. Prompting is more than "asking AI a question." It is: How you frame a task How you guide the model's behavior How you structure information How you set expectations Good prompts turn AI from a tool into a collaborator. Before asking the AI to do anything, define how it should behave. Example: You are a concise, domain-expert financial analyst who always responds with structured bullet points and avoids speculation.…  ( 8 min )

First, there is so much to learn. Understanding ML foundational concepts and having AI-accelerated workflows doesn't mean you can just jump in without going through the hard curve of learning. I learned that the expensive way. Reinforcement Learning (RL) is distinct from other ML fields. Even though they share boundaries, there are concepts that even hardcore ML engineers won't just grasp immediately. My first mistake was trying to skip steps. I was ambitious, that was glaring. I wanted results ASAP (my self-destructive habit of posing to the world). I was way too focused on seeing it work without employing my intuition to the hard details. After completing my first RL project with AI's help, I could feel it in my gut: I had learned nothing, or maybe just too minimal to fit my acclaimed ac…  ( 8 min )

Prisma 7 just launched, and this isn’t your typical point release. We’re talking a complete rewrite from Rust to TypeScript, 90% smaller bundles, 3× faster queries, and a type system that actually checks faster than the competition. Let me break down what matters and what you need to change. Please support my original piece of work that is published here: Prisma 7: They Ditched Rust and Everything Got Faster The Big Move From Prisma 7 Prisma did something that sounds backwards, they migrated their entire client runtime from Rust to TypeScript. Yeah, you read that right. Rust is supposed to be the fast language, so why move away? Turns out, the JavaScript-to-Rust communication layer was the bottleneck. Not the Rust code itself. The results speak for themselves: 90% smaller bundle output 3…  ( 20 min )

Better Alternative to Allure Report for Test Reporting Pratik Patel ・ Dec 1 #playwright #analytics #testing #ai  ( 6 min )

Better Alternative to Allure Report for Test Reporting Pratik Patel ・ Dec 1 #playwright #analytics #testing #ai  ( 6 min )

Most Vue developers work exclusively with the traditional browser DOM renderer—but Vue 3’s flexible architecture opens the door to much more. Thanks to the Vue Custom Renderer API, you can build interfaces that run far beyond the DOM, including WebGL scenes, Canvas UIs, terminal apps, game engines, or even native UI trees. This makes Vue not just a "web framework," but a universal reactive engine capable of driving any rendering target. In this article, we’ll explore: • What the Vue Custom Renderer API is and why it matters createRenderer() TresJS uses a custom renderer to bridge Vue and Three.js Enjoy! The Vue Custom Renderer API allows developers to replace Vue’s default DOM renderer with their own rendering logic. Normally, Vue manipulates the DOM by: • creating HTML elements However, V…  ( 11 min )

Today marks the Day 7 of 30 Days Terraform challenge and today we will deep dive into the Terraform Type Constraints and how we have multiple type constraints in Terraform based on the value. Terraform divides the variables based on the values they hold. They are divided into 3 types such as Primitive, Complex, Any type. Primitive types are the simplest and most commonly used variable types in Terraform. Primitive types are powerful because they enforce strict validation and avoid unexpected results especially when performing comparisons or arithmetic operations.There are exactly three of them: Strings, Numbers and Bool. A string is simply text. Anything inside quotes i.e. "hello", "production", "ap-south-1" is considered a string. It’s one of the most frequently used types in Terraform b…  ( 10 min )

You're using Kotlin. You love coroutines. Your entire codebase is suspend functions, Flow, and structured concurrency. Then you need to consume messages from RabbitMQ. And suddenly, you're writing this: runBlocking { processMessage(message) } Congratulations. You just mass-deployed an anti-pattern. The official RabbitMQ Java client was designed in 2007. Kotlin coroutines were released in 2018. These two worlds don't mix well. Here's what consuming messages looks like with the Java client: val factory = ConnectionFactory().apply { host = "localhost" username = "guest" password = "guest" } val connection = factory.newConnection() val channel = connection.createChannel() channel.basicConsume("orders", false, object : DefaultConsumer(channel) { override fun handleDeliver…  ( 9 min )

Hashicorp Vault is a secrets management tool. It provides secure storage for access credentials, certificates, or general encryption/decryption processes. To get access to any secrets, tokens are issued, providing compact, fine-grained and time-based access controls. Tokens are fundamental to Hashicorp Vault. Operationally, it is a default authentication engine that can not be moved or recreated. Technically, tokens link static secret data or dynamic secrets data at an external application for a specific time. And conceptually, tokens can be short-lived in memory, renewable and persisted on disk, and even form parent-child relationship. This article explores and explains all aspects of tokens in Hashicorp Vault. It starts with an overview about the authentication method and data structure …  ( 11 min )

Your Full-Stack Roadmap is a Trap. Here's The AI-First Path. Stop learning another JavaScript framework. The roadmap you're following—Frontend, Backend, Database—is a relic. It’s training you to become a highly efficient, easily replaceable cog in a machine that’s about to be dismantled by AI. The game has changed, but most developers are still playing by the old rules. The Illusion of Progress The traditional full-stack path rewards memorization of syntax and frameworks. React, Vue, Node, Django. You grind tutorials and build clones, believing you're accumulating value. You are, but it's depreciating value. You're becoming a master of implementation details. These details are precisely what Large Language Models (LLMs) excel at. Writing a React component, a SQL query, or a REST API endpoi…  ( 8 min )

AWS networking includes multiple layers of traffic control, and two of the most important components are Security Groups (SGs) and Network ACLs (NACLs). They’re often compared because both filter traffic, but they operate at different layers and behave differently. Understanding how each one works helps you build clean and predictable VPC architectures. In this article, we’ll look at how they differ and how they work together inside a VPC. Security Groups act as virtual firewalls for individual resources, such as EC2 instances, load balancers, and RDS databases. They operate at the instance level, meaning the rules apply directly to the resource they’re attached to. A few key characteristics define how they behave: Stateful rules: If inbound traffic is allowed, the response is automaticall…  ( 8 min )

Topic: Beyond Keyword Search: Vector Databases & OpenSearch for Modern AI Applications Description: Traditional keyword-based search is no longer enough for AI-driven applications. In this session, we explore how vector databases and OpenSearch deliver semantic, intelligent search at scale. You’ll learn how embeddings work, how similarity search is implemented, Duration: 30 Mins I attended this meeting. i'm not IT graduate. I did not understand much. but, the session is good. They talked about keyword based search, AI driven application  ( 6 min )

SQL often runs very slowly SQL is still the most commonly used big data computing language, but a fact is that SQL often runs very slowly, seriously wasting hardware resources. The data preparation part of a bank’s anti-money laundering computation: it takes the 11-node Vertical cluster 1.5 hours to process the 3.6 billion rows of data. An e-commerce funnel analysis involving 300 million rows: it takes SnowFlake’s Medium 4-node cluster more than 3 minutes to be unable to get a result. A spatiotemporal collision task involving 25 billion rows: it takes a 5-node ClickHouse cluster 1,800 seconds to complete. The data volume in each of these cases is not very large, ranging from a few gigabytes to several hundred gigabytes. However, the performance of SQL is not satisfactory. Are these tasks…  ( 15 min )

Before we explore the new methods, it is important to know why product demonstrations are becoming more common. People have learned to look beyond edited images. They want real information that helps them make confident decisions. A real-time demonstration gives them the complete picture without confusion. Shoppers want to see real movement, real color, and real behavior of a product. They want to see how clothing fits, how gadgets perform, and how home items look in different lighting. A live session makes this possible in a simple and natural way. Buyers trust products more when they watch a clear demonstration. A host can walk viewers through everything step by step so they understand how the item works. Real-time honesty creates strong confidence and reduces product returns. Good prepa…  ( 11 min )

Battling outdated admin design or coding simple dashboards. Introducing MaterialM Django Admin Template is your shortcut to launching professional web applications, giving you a beautiful, modern interface and a rock-solid backend foundation in minutes. The MaterialM Django Admin Template is a clean, up-to-date, and completely customizable dashboard that helps developers build great web apps fast. It's built using Django, Bootstrap 5, and a bit of jQuery. This template is perfect for building apps like customer tracking systems (CRM), data reports (analytics dashboards), website management tools (CMS panels), and online service platforms (SaaS). It gives you a beautiful design and a strong, safe foundation for the back end of your app. Because it uses Django's reliable structure and the f…  ( 9 min )

Introduction After writing new content, committing the markdown, and pushing to GitHub, my Astro build pipeline runs. Since my site is built with Astro, I have a custom integration I've written which runs at the end of the build process and cross-posts the markdown content of my articles to DEV and Hashnode. This workflow works, but the biggest friction point is images — specifically, how Astro handles them inside Markdown. Since I am cross-posting the raw markdown to other platforms, the markdown content includes image URLs relative to my project file system. When building the site, Astro automatically converts these relative URLs to canonical URLs with the site domain as the base. Here's an example of what these image URLs in the markdown look like:  Ho…  ( 9 min )

Intro: Sessions lingering indefinitely after the final message. These issues weren’t just technical annoyances — they impacted user experience, compliance, and bot reliability, especially in regulated industries. Native Inactivity Trigger: With Microsoft Copilot Studio, we now have a powerful tool to address this: the Inactivity trigger. Inactive Trigger This trigger allows bot authors to define what should happen when a user becomes inactive for a specified duration. You can: End the conversation gracefully with a closing message. Reset the session context to prepare for a fresh start. Escalate to a human agent or log the session for review. Customize the timeout duration based on your business needs. Use Case Example Wait for 15 minutes. Trigger a message like: “It looks like you’ve stepped away. I’ll close this session for now — feel free to start again anytime.” Reset the session so the next interaction starts fresh. Final Thoughts: The Inactivity trigger is a small but powerful addition that solves a long-standing issue in bot design. It brings clarity, control, and professionalism to your Copilot Studio experiences — especially in enterprise scenarios where session lifecycle matters.  ( 7 min )

Keeping your SafeLine WAF installation up to date is critical for security, performance, and access to new features. But manual updates can be tedious. Luckily, this all-in-one Bash script automates the process—from stopping containers to creating backups, pulling new images, and restarting services—so you can focus on building, not patching. This script handles everything for you: Safely stops running containers before updates Creates timestamped backups of your resources Prunes old backups automatically Fetches the latest compose.yaml from the official release Pulls the latest Docker images Restarts containers in detached mode quickly Step 1: Save the Script Create a file called update.sh inside your SafeLine installation directory: #!/bin/bash set -e TARGET_DIR="/o…  ( 7 min )

Modern AI agents are powerful, but you don’t always want them to act fully on their own. In this guide, we’ll see how to build a simple HITL workflow using LangGraph (built on top of LangChain). By the end, you’ll have a working example that lets the AI draft a response, sends that draft to a human for review, and either finalizes or revises the response based on human feedback, looping until the human is happy. What is LangGraph? Example: Human Review for AI Responses Step 1: Define the Workflow State class HumanInTheLoopState(TypedDict): question: str # User's original question ai_draft: str # AI's current draft human_feedback: str # Human review / comments final_response: str # Final approved response Step 2: Define the Workflow Nodes draft_r…  ( 7 min )

You've just built a shiny new feature that lists user transactions. In testing, it runs flawlessly: fast responses, clean UI, no complaints. Then your biggest client joins with 50,000 records. Suddenly, that endpoint stalls and times out, and support tickets start piling up. This is a classic pagination problem. Instead of trying to load an entire data set at once, pagination breaks it into smaller, more manageable chunks (or pages) that can be fetched incrementally. Your bank does this; it shows around ten recent transactions at a time, not your entire account history. There's a good reason for this: research shows that even a one-second delay in page load can reduce conversions by 7 percent. When you're dealing with payroll systems, financial data, or anything time sensitive, those delay…  ( 14 min )

🚀 Master Google Cloud Internal Application Load Balancer (ALB) – Enterprise Hands-On Lab This step-by-step, production-grade lab teaches you how to design and implement an Internal Application Load Balancer (ALB) on Google Cloud. Perfect for GCP Architects, DevOps, SREs, and cloud engineers, and an excellent demonstrable skill for interviews. In this lab, you will learn: Lab Highlights: Python microservices (prime number calculator) running on VMs Enterprise-grade internal networking setup Cloud Shell + Gemini Code Assist for productivity Real-world traffic distribution patterns for internal applications Why This Lab is Interview-Ready: Shows hands-on internal ALB expertise Demonstrates cloud architecture best practices Ideal to discuss in interviews for Cloud Architect, DevOps, SRE roles 📌 Download Diagram & Commands: (Add later) 🔥 If you're preparing for GCP PCA, ACE, or Cloud Architect Role — this lab is a must-watch! • GCP Network Load Balancer (NLB) – Full Lab GCP ALB - Full Lab GCP internal ALB- Full Lab Community Hashtags: GoogleCloud #GCP #InternalLoadBalancer #CloudArchitect #DevOps #SRE #EnterpriseGCP #CloudComputing #GCPProjects  ( 6 min )

This article explains how Gongniu Murora migrated from the open source SkyWalking monitoring solution to Alibaba Cloud Application Real-Time Monitoring Service (ARMS), building a comprehensive observability platform with metrics, tracing, log analysis, and intelligent alerting. Beyond the selection criteria, the article highlights the unique value ARMS in LLM and IoT integration scenarios. By identifying bottlenecks in speech recognition, optimizing LLM inference performance and ensuring high-quality speech synthesis, Gongniu successfully moved from reactive responses to proactive management. The overall observation pipeline works as follows: user local gateway → user speech input → automatic speech recognition (ASR) → multi-agent → IoT command execution → response text generation → text-t…  ( 16 min )

Originally published at Perl Weekly 749 Hi there! The big announcement is that Mohammad Sajid Anwar who runs The Weekly Challenge and who is the other editor of the Perl Weekly newsletter, has published his first book called Design Patterns in Modern Perl. You can buy it both on Amazon and on Leanpub. Leanpub gives you the option to change the price so you can also use this opportunity to give a one-time donation to him. As far as I know, Leanpub also gives a much bigger part of the price to the author than Amazon does. You can also ask them to send the book to your Kindle or you can upload it yourself. I already bought it and started to read it. Now you go, buy the book! In just a few hours we are going to have the online meeting Perl Code-reading and testing. You can still register here.…  ( 18 min )

Hands-On Lab: Google Cloud Application Load Balancer (ALB) — Architect-Level Implementation As part of my ongoing Google Cloud Solutions Architect journey, I’ve completed a full end-to-end implementation of GCP Application Load Balancer, following production-grade architecture patterns. This lab demonstrates how large-scale systems handle global traffic, ensure high availability, and implement intelligent Layer-7 routing. Key Learnings & Highlights: Global HTTP/HTTPS load balancing with Anycast IP URL-based routing for microservices at scale Managed Instance Groups with autoscaling and health checks SSL/TLS termination at the edge for secure traffic High availability and fault-tolerant deployment strategies I’ve published a comprehensive YouTube walkthrough, covering architecture diagrams, configuration steps, and deployment strategy: https://youtu.be/4ZKUuVETAYY] Who will benefit: Cloud Architects & DevOps Engineers GCP ACE / Professional Architect aspirants Professionals designing scalable distributed systems I welcome feedback, alternative approaches, and discussions from the community—let’s share knowledge and best practices! GCP #GoogleCloud #ApplicationLoadBalancer #CloudArchitecture #Networking #DevOps #SRE #ScalableSystems #HighAvailability #CloudEngineering #GCPCommunity  ( 6 min )

Variables are a fundamental concept in every programming language because they are useful in building dynamic programs. We use variables to store temporary or "permanent" values so they can assist programming logic in simple as well as complex programs. The result of an expression is a value. All values have a type, which dictates where that value can be used and what transformations can be applied to it. Well said by Hashicorp. Welcome to my day05-07 in #30DaysOfAwsTerraform and in this post, we discuss the types of Variables in Terraform, how they are used and how to setup of Terraform directory for clean configurations. Terraform variables are essential for building, scalable, highly maintainable and adaptable infrastructure configurations, effectively contributing efficient infrastruct…  ( 10 min )

Signup here for the newsletter to get the weekly digest right into your inbox. weeklyfoo #113 is here: your weekly digest of all webdev news you need to know! This time you'll find 37 valuable links in 5 categories! Enjoy! Migrating 6000 React tests using AI Agents and ASTs: The internet is flooded with very impressive vibe-style coding demos, but in my day-to-day job at Filestage we rarely start codebases from scratch and we have to deal with hundreds of thousands of lines of code and their dependencies. by Elio Capella Sánchez / tests, ai, migration / 9 min read 📰 Good to know TIL satisfies is my favorite TypeScript keyword: This really comes in handy when you want to ensure that TypeScript is being as specific as possible. by Jerred Shepherd / typescript / 5 min read …  ( 9 min )

🧐 link to the practice repository: PRESS ME In the rapidly evolving landscape of AI, the ability to connect Large Language Models (LLMs) to your own data and tools is a game-changer. The Model Context Protocol (MCP) has emerged as a standard for this connection, allowing developers to build servers that expose data and functionality to MCP clients like Claude Desktop, VS Code, and others. In this article, we will explore what an MCP server is and build a simple "Weather Server" from scratch using Python. By the end, you'll have a working server that you can connect to Claude to ask for weather updates! An MCP Server is a lightweight application that implements the Model Context Protocol. It acts as a bridge between your data sources (databases, APIs, files) and an AI client. Instead of bu…  ( 8 min )

🧐 link to the practice repository: PRESS ME In the modern era of distributed systems and microservices, "monitoring" is no longer enough. We need Observability. But what exactly is the difference, and how can we implement it without getting lost in complex configurations? In this article, we will explore the core concepts of observability and build a real-world example using Python (Flask), Prometheus, and Grafana. While monitoring tells you when something is wrong (e.g., "The server is down"), observability allows you to understand why it is wrong by asking questions to your system from the outside. It is often categorized into three pillars: Logs: A record of discrete events (e.g., "User X logged in"). Metrics: Aggregated numerical data over time (e.g., "CPU usage is at 80%"). Traces…  ( 7 min )

You crushed Q4. Sales were up. The holiday push worked. Your inbox is full of order confirmations and your analytics dashboard looks like a beautiful upward slope. Then January hits. Crickets. Here's the uncomfortable truth: most of those December buyers aren't coming back. Industry data shows that roughly 70% of first-time holiday shoppers never make a second purchase. They came for the deal, grabbed the gift, and moved on with their lives. Your carefully crafted brand experience? It ended at the shipping confirmation email. But here's what actually matters: the 30% who might stick around are worth 5-10x more than the one-time buyers. The math is simple. The execution? That's where it gets interesting. Most retention advice sounds like this: "Send a follow-up email! Create a loyalty progr…  ( 11 min )

If you've worked with NestJS for more than a day, you've seen this error: Error: Nest can't resolve dependencies of the UserService (?). Please make sure that the argument EmailService at index [1] is available in the UserModule context. You scratch your head. You added EmailService to the providers array. Why isn't it working? So you start randomly importing modules, adding services everywhere until the error goes away. Now your app works, but you have no idea why, and your modules are a tangled mess. This is one of the most common pain points for NestJS developers — both beginners and experienced ones. The module system is powerful but unforgiving. One missing export and your entire application crashes with cryptic error messages. Let's fix this properly. The Root Problem: Module Contex…  ( 22 min )

SOLID explicado com exemplos em Java — do jeito simples que todo dev gostaria de ter aprendido Edson Costa for Devs Norte ・ Dec 1 #solidprinciples #java #programming #webdev  ( 6 min )

Ao longo da minha jornada como desenvolvedor — principalmente vindo do desenvolvimento web — sempre ouvi falar sobre SOLID. Mas foi entrando de vez no desenvolvimento mobile que esses princípios começaram a fazer um sentido muito maior no meu dia a dia. SOLID não é um conjunto de regras rígidas, e sim um guia de boas práticas para construir sistemas mais limpos, flexíveis e fáceis de manter. Vamos direto ao ponto. SOLID é um acrônimo formado por cinco princípios fundamentais da programação orientada a objetos: S — Single Responsibility Principle O — Open/Closed Principle L — Liskov Substitution Principle I — Interface Segregation Principle D — Dependency Inversion Principle A ideia central é simples: projetar software que seja fácil de entender, evoluir, testar e manter. Agora, vamos ver c…  ( 9 min )

Daily Tech News Roundup Cyber Monday is in full swing, bringing a flurry of deals and developments across the tech landscape. From space manufacturing breakthroughs to concerns about data center impact on public health, today's news is diverse and impactful. Here's a quick rundown of the top stories you need to know. Cyber Monday Deals Under $100 Looking for budget-friendly tech gifts? The Verge has compiled a list of 50 standout deals under $100 for Cyber Monday. This is a great resource for finding affordable gadgets without breaking the bank during the holiday shopping season. Source Apple Cyber Monday Deals Cyber Monday is offering some of the best deals of the year on Apple products, including MacBooks, iPads, and AirTags. Now is the perfect opportunity to snag that Apple device you'v…  ( 7 min )

The demand for fast, offline-capable mobile apps with on-device AI features is higher than ever. By 2026, a powerful local database isn't a luxury; it's a core requirement for building responsive and intelligent user experiences. For many projects, this means choosing the right SQLite solution for React Native app development. This guide reviews the top SQLite libraries available today. We'll compare them based on performance, developer experience, and compatibility with modern React Native architectures, including the Fabric renderer and TurboModules. Even with countless cloud solutions, a local SQLite database remains a foundational piece of high-performance mobile applications. Its direct, native access provides speed and reliability that remote databases cannot match for certain tasks.…  ( 14 min )

Happy Monday! What have you been listening to? Drop a YouTube, Bandcamp, SoundCloud, or Spotify {% embed %} in the comments. Optional: What was the last song you listened to (or are listening to right now)? Check whatever platform you listen to music on and let us know! Nothing is off limits. There's no good or bad taste in music!  ( 6 min )

When I built VBlog, a full-stack application with Next.js, Express, Prisma, and PostgreSQL, everything ran flawlessly on my local machine. Then I tried deploying it to another environment. 💥 Chaos ensued. Missing dependencies. Mismatched Node versions. Prisma binaries that refused to cooperate. PostgreSQL connection failures. The backend would work while the frontend crashed, or vice versa. That's when Docker shifted from a "someday" learning goal to an immediate necessity. In this article, I'll walk you through: Why Docker became essential for my project How I containerized each component of my stack The Prisma binary issue that almost broke me (and how I fixed it) My final docker-compose workflow that ties everything together My tech stack consisted of: Next.js 15 for the frontend Node.…  ( 8 min )

I originally posted this post on my blog. I definitely can't escape from legacy code. This time, it's an old WebForms application written in VB. Yes, that old. It's a family business. Dad started it. And years later, his two sons got involved. It's funny when during the standup meetings I hear, "Hey Dad..." The code is a mess. Sorry, I mean it needs a lot of care. I don't blame them. It was the easy route with WebForms. Just drag and drop, double-click, and dump all your logic. It's just like that framework encouraged people to copy and paste. I've worked with at least 3 legacy apps with WebForms. All of them were pure spaghetti code. Zero best practices. "Coincidence? I think not!" The code needs care, but the database needs even more attention. It doesn't have foreign keys, and queries d…  ( 7 min )

The golden age of "keyword stuffing" and generic 2,000-word guides is fading. Today, search engines have a singular focus: connecting users with direct, helpful answers. If your 2026 SEO strategy is still built solely around competing for broad, high-volume keywords, you are likely fighting a losing battle against industry giants. The real opportunity for growth lies not in chasing "head terms," but in answering specific questions. Here is why building a Question & Answer (Q&A) community is the most potent, scalable SEO strategy for the coming year, and how tools like AnswerGrowth can help you execute it. Google’s recent algorithm updates (specifically the "Helpful Content" system) have made one thing clear: content written for humans ranks better than content written for bots. Have you no…  ( 8 min )

Introduction Modern data engineering requires scalable, fault-tolerant, and secure architectures. In this article, I walk through a fully operational AWS data pipeline using S3, Kinesis, Glue, Athena, Redshift, and QuickSight. This article helps anyone learn: How to build a real AWS ETL pipeline end-to-end How to combine batch + streaming data How to orchestrate jobs with Glue + Lambda How to query data with Athena and Redshift How to build dashboards with QuickSight Architecture Overview Amazon S3 – Data lake (Raw → Clean → Analytics Zones) Amazon Kinesis Data Streams – Real-time data ingestion AWS Glue – ETL jobs & data catalog AWS Lambda – Event-driven transformations Amazon Athena – Serverless SQL analytics Amazon Redshift – Data warehouse Amazon QuickSight – Dashboards AWS Lake Form…  ( 7 min )

Google's New AI Tool Already Beaten? Try Alibaba's Free Local Alternative Last week I was figuring out how to access Google's Nano Banana Pro—dealing with VPNs, subscriptions, and daily usage limits. Then Alibaba dropped a bombshell: Z-Image-Turbo, a completely open-source AI image generator that runs locally on your machine with zero restrictions. I downloaded the one-click package and tested it immediately. This tool is absolutely brilliant. To be honest, previous attempts with Stable Diffusion to generate posters with Chinese text were disastrous—the characters would come out completely distorted. Z-Image-Turbo completely solves this pain point. I simply typed "a girl in traditional Chinese hanfu playing a guqin in a bamboo forest," and the output was stunning. The details were cris…  ( 7 min )

AWS Academy Cloud Architecting | V1 | Challenge (Cafe) lab: Creating a Static Website for the Cafe  ( 6 min )

AWS Academy Cloud Architecting | Cafe Business Case Introduction  ( 6 min )

Hook: Your Bank Account is in its Flop Era. Let's Talk About It. No cap, you look at your bank account and wonder where all the money went. That iced latte is now the price of a streaming sub, rent is hitting new highs, and getting a loan feels like you're asking for a kidney. You scroll through TikTok and hear everyone yelling about 'inflation,' 'recession,' and 'the Fed.' It all sounds like a whole lot of noise, something for dudes in suits to worry about. You think, 'Macroeconomics is mid, it doesn't even affect me.' That take? It's the biggest cap of the century. You're not just living in the economy; you're a player in the game. Ignoring the rules doesn't mean you're not playing—it just means you're losing. Bet. Let's hack the system. The Deep Dive: Decoding the Economy's Source Code …  ( 8 min )

20242 AKM | Cloud Foundations | Lab 1 Introduction to AWS IAM  ( 6 min )

Remote MCP (Model Context Protocol) servers enable AI clients like Claude Desktop or VSCode extensions to securely interact with external tools via standardized SSE endpoints, deployable in minutes on Cloudflare Workers.​ What is MCP? https://your-mcp.workers.dev/sse, supporting authentication flows.​ Quickstart Deployment For authenticated setups, wrap your MCP logic in Cloudflare's OAuthProvider: import libraries like @modelcontextprotocol/sdk/server/mcp.js and define tools with Zod schemas, e.g., a counter tool persisting state via Durable Objects.​ Public Example Repository https://github.com/GoogleCloudPlatform/cloud-run-mcp, which provides tools like deploy-local-folder for app deployments. Configure in VSCode with "command": "npx", "args": ["-y", "@google-cloud/cloud-run-mcp"] after GCP auth, or connect Claude Desktop to its SSE endpoint. Test by listing services: the repo includes full setup for production use.​ Connecting Clients @cf/black-forest-labs/flux-1-schnell. Sessions maintain state across calls, enabling agentic workflows like persistent todos.  ( 6 min )

In the article How to evaluate the quality of a framework technology, I introduced a concept, framework agnosticism, and pointed out that the most ideal framework is one that you are completely unaware of when writing business code. Some readers asked: As of now, no business development is completely independent of frameworks—what is the point of this concept? A helpful classmate in the discussion group replied: Software development depends on frameworks because we need the framework-provided input/output, event callbacks, dependency injection, external data I/O, context, etc.—most of which are side effects that the program’s execution relies on. If, when implementing a piece of business, we design it as a library, explicitly declare all side effects as interfaces and context objects, and …  ( 17 min )

Few programming languages have shaped the software world as profoundly as C. Created over 50 years ago, C still powers operating systems, compilers, embedded systems, databases, and performance-critical applications around the globe. Whether you’re a beginner stepping into low-level programming or an experienced developer exploring systems-level engineering, learning C equips you with a deeper understanding of how computers actually work. In this article, we’ll explore what makes C timeless, why developers continue to rely on it, and what you need to know to get started. What Is C? C is a general-purpose, procedural programming language created by Dennis Ritchie at Bell Labs in the early 1970s. It was originally developed to build the UNIX operating system, but quickly became a universal…  ( 8 min )

This is Day 1 of the Building a SaaS Solo - Design, Implementation, and Operations Advent Calendar 2025. Over 25 days, I'll share technical insights from developing my own product. Since the product hasn't launched yet, this is a record of trial and error, not success stories. It's also an exercise in organizing my thoughts, so please read with that in mind. Period Theme Content 12/1-3 Beginning Idea, Tech Selection, Project Structure 12/4-9 Foundation Documentation, Git, DB Design, Auth 12/10-13 Frontend & API App Router, SPA, Hono, Vercel 12/14-17 Features UX, Infinite Scroll, Table UI, AI Search 12/18-22 Practical Issues TypeScript, Security, Billing, Analytics 12/23-25 Retrospective Claude Code, Persistence, Summary Product Name: Memoreru Concept: Organize knowledge…  ( 8 min )

With the popularity of low-code concepts and products, many are considering introducing the idea of logic orchestration into their projects—offloading logic traditionally produced via hand-crafted hard coding to a logic orchestration engine that can be flexibly configured. In this article, I will introduce the design philosophy of the logic orchestration engine NopTaskFlow in the Nop platform and analyze the mathematical inevitability of its design. At the end, I will explain why NopTaskFlow is a next-generation logic orchestration engine and what typical characteristics this so-called next generation possesses. When we program using traditional programming languages and frameworks, we are essentially following certain constraint specifications defined by the language, which can be seen as…  ( 37 min )

Chapter 6: Building Your Own Types Monday morning arrived with the scent of rain on concrete. Ethan descended the familiar stairs, coffee tray in one hand, a white bakery bag in the other. Eleanor looked up from her laptop. "What's the occasion?" "Croissants. The baker said they're architectural—all those layers held together by structure." She smiled. "Perfect. Today we're building structures of our own. Sit." Ethan set down the coffees and took his seat. "Structures?" "Structs. Go's way of creating custom types that group related data together. Until now, we've used Go's built-in types—int, string, bool, slices, maps. Today, we make our own." Eleanor opened a new file: package main import "fmt" type Person struct { Name string Age int } func main() { var p Person fm…  ( 13 min )

If you have used Google’s Gemini and found it impressive but ultimately disconnected from your actual work, you aren't alone. Many users describe the initial experience as talking to a very smart stranger—it knows the capital of France and can write a haiku, but it knows absolutely nothing about you, your projects, or your schedule. However, the difference between Gemini being a novelty and a productivity powerhouse often comes down to a single, often overlooked toggle in the settings: The Google Workspace Extension. Out of the box, most AI chatbots operate in function independently. If you want Gemini to summarize a meeting note you wrote last week, you usually have to find the document, copy the text, paste it into the chat, and then ask your question. This friction defeats the purpose o…  ( 7 min )

An interesting question is: when a new framework technology emerges, how do we evaluate its quality? Since the NopORM engine was open-sourced this year, we’ve received some feedback, but most people likely didn’t grasp the theoretical part of NopORM, so the common confusion is: what concrete advantages does NopORM have over other ORM engines? In this article, I’d like to discuss objective criteria for evaluating a framework that do not hinge on personal experience, preferences, or familiarity. Interestingly, some people never read the theoretical parts themselves, but when discussing the gap between domestic and international software technology, their rhetoric is “domestic development emphasizes pragmatism, and the gap in software methodology is huge.” This can only be described as a “Lor…  ( 22 min )

Lesson 27: Multi-Timeframe Strategies ⏱ Duration: 2 hours 🎯 Learning Objectives: Learn to develop multi-timeframe confirmation strategies to improve signal quality and stability Single timeframe strategies are prone to false signals. Using Multi-Timeframe Analysis (MTF) can: ✅ Improve signal quality ✅ Reduce false breakouts ✅ Increase win rate ✅ Better grasp market trends Core Concept: Major timeframe for trend, minor timeframe for entry. Problem 1: Narrow Vision - 5-minute chart looks like it's rising - But 1-hour chart might be a rally in a downtrend - Easy to trade against the trend Problem 2: Frequent False Signals - Small timeframes have more noise - Frequent golden cross/death cross - Most are false breakouts Problem 3: Lack of Big Picture - Don't know which stage of the trend w…  ( 15 min )

第 27 课：多时间框架策略 ⏱ 课时：2 小时 🎯 学习目标：学会开发多周期确认策略，提高信号质量和稳定性 单一时间框架的策略容易产生假信号。使用多时间框架分析（Multi-Timeframe Analysis, MTF）可以： ✅ 提高信号质量 ✅ 减少假突破 ✅ 提升胜率 ✅ 更好地把握市场趋势 核心理念： 大周期看趋势，小周期找入场。 问题 1：视野狭窄 - 5 分钟图看起来是上涨 - 但 1 小时图可能是下跌趋势中的反弹 - 容易逆势交易 问题 2：假信号频繁 - 小周期噪音多 - 频繁的金叉死叉 - 多数是假突破 问题 3：缺乏大局观 - 不知道当前处于趋势的哪个阶段 - 容易在趋势末期入场 - 止损频繁触发 优势 1：趋势确认 - 1 小时图确认上涨趋势 - 5 分钟图寻找回调买点 - 顺势交易，成功率高 优势 2：过滤噪音 - 大周期过滤小周期的假信号 - 只在趋势方向交易 - 减少无效交易 优势 3：更好的风险回报 - 大趋势支持，可以持仓更久 - 盈利空间更大 - 回撤更小 大周期（趋势） 中周期（确认） 小周期（入场） 适用场景 1d 4h 1h 波段交易 4h 1h 15m 日内波段 1h 15m 5m 短线交易（推荐） 15m 5m 1m 超短线 推荐比例： 大周期：中周期 = 4:1 到 8:1 中周期：小周期 = 3:1 到 4:1 例如：1h（大）、15m（中）、5m（小）= 12:3:1 1. 交易风格决定时间框架 - 波段交易：4h + 1h + 15m - 日内交易：1h + 15m + 5m - 短线交易：15m + 5m + 1m 2. 避免相邻过近 ❌ 错误：5m + 3m + 1m（过于接近） ✅ 正确：15m + 5m + 1m（间隔合理） 3…  ( 12 min )

Building an AI-Powered App Entirely in Go: From Simple Prompt to Smart Pipeline Naveen V ・ Nov 28 #ai #go #genkit #programming  ( 6 min )

Protecting web applications from malicious bots is one thing; proving it works in production is another. In this case study, we demonstrate how SafeLine WAF defended a real application from bot attacks, showing before-and-after traffic patterns and highlighting actionable insights for developers. Bots today can: Scrape sensitive data Perform credential stuffing Spam APIs and forms Overload servers, causing downtime Simple rate limiting or IP blocks are often insufficient, as modern bots rotate IPs, mimic human behavior, and bypass naive filters. Server: 4-core / 8GB RAM VPS Web app: Single-page app + API endpoints WAF: SafeLine Pro, self-hosted Traffic: Internal bot simulation + real attack traffic SafeLine WAF allows configuration of Bot Protect, custom rules, and challenge pages (JS/C…  ( 7 min )

Hey dev.to community, If you play fantasy sports, you know the anxiety of a trade offer. "Is this fair?" It seems like a simple question, but building a system to answer it objectively—in real-time—is a fascinating engineering challenge. When developing fftradeanalyzer.com, I quickly realized that ingesting stats is easy, but calculating "current value" is incredibly hard. It requires building a pipeline that can handle noisy data, rapid context shifts, and complex normalization. Here’s a look under the hood at the technical hurdles of building a real-time sports valuation engine. The Stack Backend API: Python & FastAPI (for async performance). Data Processing: Pandas & NumPy (the heavy lifters). Caching: Redis (crucial for storing processed player values to avoid re-calculating on every r…  ( 7 min )

In this article, we will explore how to transition from a monolithic architecture to a microservices architecture without refactoring any existing code. We will leverage the power of the Onion/Clean architecture to achieve this goal. In the past I have written extensively about the Onion/Clean architecture, so if you are not familiar with it, I recommend reading the following articles first: Implementing SOLID and the onion architecture in Node.js with TypeScript and InversifyJS Build HTTP APIs with Dependency Injection in TypeScript — Meet the Inversify Framework Enforce Clean Architecture in Your TypeScript Projects with fresh-onion 1. Start with a Monolith and the Onion/Clean Architecture To begin, we will start with a monolithic application that follows the Onion/Clea…  ( 14 min )

Quantum Granules: Taming Complexity with Effect-Based Abstraction Quantum computing holds immense promise, but wrestling with its inherent complexity can feel like navigating a dense jungle. How do we abstract away low-level qubit operations and build more intuitive, manageable quantum programs? Imagine organizing quantum operations into reusable, effect-based units, much like organizing files into folders on your computer. The core idea is Quantum Granular Computing: treating groups of quantum operations as single, abstract units called "granules." Instead of directly manipulating individual qubits, we manipulate these granules, each representing a specific effect on the quantum state. These granules aren't just fixed blocks; they can morph and adapt based on context, providing a flexib…  ( 7 min )

Many people are confused when choosing LED light strips: What are the differences between RGB light strips and ordinary single-color light strips? In fact, apart from the different color effects, there are also essential differences in their control methods. Single-color light strips only emit a fixed color (such as warm white, pure white or red), have a simple structure, and usually only have two wires (positive pole and negative pole). As long as it is connected to the matching power supply, the light strip will remain on constantly. If dimming is needed, simply add a simple PWM dimmer or a smart switch. The operation is intuitive and suitable for basic lighting. Each LED of the RGB light strip contains three chips: red (R), green (G), and blue (B). By mixing the three colors, it can present 16 million colors. It usually has four wires: one common positive pole (+12V/24V), and the other three control the R, G, and B channels respectively. It must be used in conjunction with a dedicated RGB controller (such as an infrared, Bluetooth or Wi-Fi controller) and cannot be directly connected to a power source; otherwise, a short circuit may occur. For this reason, RGB light strips can achieve dynamic effects such as color change, gradient, and music synchronization, but the control is more complex. Monochrome light strips excel in simplicity and reliability, making them suitable for scenarios that do not require fancy effects. Therefore, for an atmosphere, choose RGB; for practicality, choose monochrome - provided that the correct controller and power supply are paired.  ( 6 min )

Why You Need a Local-First API Client (With Hands-On Example) Local-first API clients boost speed, privacy, and offline reliability by keeping requests and data on your device—cutting hidden dependencies and reducing technical debt. Your lightweight Client for API debugging No Login Required Get Requestly A local-first API client puts you in control by running everything locally on your device by default. This approach not only speeds up requests but also helps reduce technical debt by increasing transparency, consistency, and stability in your API testing workflows. What Does “Local-First” Mean? Blazing Fast Responses: Requests go directly from your device to your API endpoints without unnecessary detours. Hidden External Dependencies: Your workflow depends on third-party cloud infrastruc…  ( 9 min )

Lab overview During the setup, you create a virtual network, a virtual machine, a storage account, and associated resources. Learning objectives Update a virtual network and subnet. Manage virtual machines. Control storage access. Manage resource tags and locks. Clean up First, we prepare the environment: Login to Microsoft Azure Login to Microsoft Azure at https://portal.azure.com Create a resource group 1.From the Azure portal home page, in the search box, enter resource groups. Resource groups under services. 3.Select Create 4.Enter guided-project-rg in the Resource group name field. Region field will automatically populate. Leave the default value. 6.Select Review + create. Create. 8.Return to the home page of the Azure portal by selecting Home. Create a virtual network with o…  ( 9 min )

Introduction As a Senior Engineer, I’ve spent 5 years building scalable systems in Java and Angular. When I moved into AI, I noticed a pattern: many models live and die in Jupyter Notebooks. I wanted to build systems that survive in production. Here is how I architected two enterprise-grade ML solutions, focusing on Deployment, Explainability, and ROI. 1. The Architecture: Engineering First Before training a single model, I designed the infrastructure. A model is useless if it can't be queried at scale. Serving Layer: I chose FastAPI over Flask for its asynchronous capabilities and automatic validation (Pydantic), mirroring the type-safety I’m used to in Java. Containerization: Both projects are fully Dockerized, ensuring that the environment used for training matches production exactly. …  ( 7 min )

Introduction One thing that occurs in most programming languages is the desire to have type-generic code, that is code whose purpose or algorithms don’t depend on the type of data. Most commonly, this manifests as the desire to have generic “containers,” e.g., arrays, lists, or sets of some type T where T can not only be any type built into the language, but user-defined types as well, e.g., list of integers, sets of strings, etc. Different languages that support generic containers do so differently, e.g., C++ uses “templates” where type parameters are instantiated at compile-time with specific types, e.g., a list can be instantiated with T = int yielding list. C has only minimal support for generic code via _Generic and preprocessor macros. Some people try to use these things t…  ( 8 min )

Adaptive Gripping: Bridging the Dexterity Gap in Robotics Ever watched a robot struggle to pick up a thin sheet of glass or open a cabinet without a handle? Current robotic grippers often falter on tasks requiring both delicate touch and secure hold, limiting their real-world usability. The solution? Imagine a robotic hand that combines the precision of fingertips with the power of suction. We're talking about a hybrid end-effector, seamlessly integrating a traditional gripper with a miniature vacuum system. This allows robots to switch instantly between gripping and suction, or even use them in tandem for ultimate control. It's like giving a robot the ability to both pinch and stick, adapting to a much wider range of objects and surfaces. This combined approach unlocks a new level of ad…  ( 7 min )

Hey everyone! 👋 3-month journey of DataViz Kit, I’m back with another post. If you remember, I mentioned having a few "techniques up my sleeves" to try and crack the SEO code, especially since Google has been a tough nut to crack compared to Bing. Here is what I’ve been working on this week and how the numbers are looking. 🧪 The Experiments Programmatic SEO / Content Clusters: I started crafting articles for specific use cases. 📈 The Numbers (Week 1 Update) Bing: The growth is steady. The Heatmap Maker is still the star player here, bringing in about 50-100 clicks this week. Google: Still the "silent observer." I'm seeing impressions creep up slightly for new keywords, but clicks are flat. I suspect the changes I made this week will take 2-4 weeks to reflect here. 🛠️ Feature Updates Update: I pushed a small fix to the headers. Coming Soon: I’m experimenting with a new chart type. If the testing goes well, it should be live soon. 💭 Thoughts for the Week If you haven't checked it out yet, try my tool by creating a box plot, and let me know what's your opinion. See you in the next update. ✌️  ( 7 min )

Uma pequena ferramenta que instala mais de 27 aliases Git com um único comando — economizando tempo, reduzindo fricção e mantendo seu foco no código. Pensa no seu fluxo típico: git status git add . git commit -m "fix: bug na autenticação" git push origin main Agora multiplica isso por 20–30 vezes por dia. centenas de teclas desnecessárias — todos os dias. E esse é só um dos muitos fluxos repetitivos que fazemos automaticamente. Depois de ver um colega usando aliases no .zshrc, eu quis algo: mais simples, mais limpo, multiplataforma, e que funcionasse em qualquer máquina sem esforço. Então eu criei o git-alias-flow — um pacote npm que instala mais de 27 aliases Git diretamente no Git. Nada de editar arquivos de configuração do sistema. npm install -g git-alias-flow gaf Pronto. Todas os al…  ( 8 min )

A tiny tool that installs 27+ Git aliases with one command — saving time, reducing friction, and keeping your focus on coding. Think about your typical workflow: git status git add . git commit -m "fix: bug in authentication" git push origin main Now multiply that by 20–30 times a day. hundreds of unnecessary keystrokes — every single day. And this is just one of many flows we repeat automatically. After seeing a colleague using Git aliases inside .zshrc, I wanted something easier, cleaner, and consistent across multiple machines. So I built git-alias-flow — an npm package that installs 27+ useful Git aliases directly into Git itself. No OS-specific config files. npm install -g git-alias-flow gaf Done. All aliases installed, ready to use anywhere. Before: git status git add . git commit …  ( 8 min )

TL;DR What: An open-source Digital Scrum Master (DSM) - an autonomous AI agent that orchestrates complete Agile workflows on Kubernetes Who it's for: Platform engineers, AI architects, and DevOps teams building agentic systems Key takeaway: True agentic orchestration requires more than LLMs - you need episodic memory, event-driven architecture, and continuous learning loops Tech stack: Python, FastAPI, PostgreSQL + pgvector, Redis Streams, Kubernetes, Ollama Let's be honest - the current wave of "AI-powered project management" tools are disappointing. They generate tickets. They summarize stand-ups. Some write decent user stories. But none of them actually run a sprint. Here's what I mean: Jira + AI plugins: Still need humans to move tickets, plan sprints, track velocity Linear with A…  ( 14 min )

TL;DR What: An open-source Digital Scrum Master (DSM) - an autonomous AI agent that orchestrates complete Agile workflows on Kubernetes Who it's for: Platform engineers, AI architects, and DevOps teams building agentic systems Key takeaway: True agentic orchestration requires more than LLMs - you need episodic memory, event-driven architecture, and continuous learning loops Tech stack: Python, FastAPI, PostgreSQL + pgvector, Redis Streams, Kubernetes, Ollama Let's be honest - the current wave of "AI-powered project management" tools are disappointing. They generate tickets. They summarize stand-ups. Some write decent user stories. But none of them actually run a sprint. Here's what I mean: Jira + AI plugins: Still need humans to move tickets, plan sprints, track velocity Linear with A…  ( 14 min )

Hellow function() { console.log("OLA") }  ( 6 min )

🚀 The Problem: Agents are "Anonymous Ghosts" Building an autonomous agent in LangChain is magical. You give it a tool like transfer_money, and it just works. But that magic is also a security nightmare. If your LLM hallucinates or gets prompt-injected, it can call that tool instantly. The API receiving the request has no idea if it was a valid user intent or a rogue agent. The request is just anonymous JSON. We need Attribution. We need the agent to SIGN its work. Prefer a visual explanation? I broke this architecture down into a 6-slide carousel on LinkedIn. It covers the "Why" and "How" in under a minute. I built the Agent Identity Protocol (AIP) to solve this. It is an open-source tool that gives your agent a local crypto wallet. Instead of just executing a tool blindly, we force the…  ( 8 min )

You're Not Building Netflix: Stop Coding Like You Are Adam - The Developer ・ Nov 23 #webdev #programming #architecture #typescript  ( 6 min )

View demo https://codepen.io/kspmultimedia/live/MYaGPmP Hi! I don't usually post much here but here's something I've been thinking about lately: I recently rebuilt this set of progress buttons as a practice project exploring how motion can communicate state change. Each button uses the same dark green fill but expresses progression differently: one flows horizontally, another condenses as it fills, and the third uses 3D perspective for a more dimensional feel. Motion Isn't Decoration — It's a Design Decision *Guide attention Meaningful Motion Helps People — Not Distracts Them Here are some principles I use: Story first, motion second Instead of adding animation to fill space, I ask: "What is the emotional or informational moment here?" Motion should amplify intent, not distract from it. Micro-interactions > big animations Subtle hover states, soft easing, scroll cues, gentle reveals — tiny moments make interfaces feel alive without overwhelming users or slowing sites down. Purpose before aesthetics Motion can highlight hierarchy, signal change, or guide direction. If it doesn't support the user journey, it's just noise. Accessibility is part of animation Reduced motion settings, predictable timing, readable transitions — this is how animation becomes inclusive instead of exclusive. Where I'm Growing Next If you're: *Exploring motion in Webflow or GSAP, I'd love to trade notes. *If you have examples of meaningful motion, share them — I'm always learning. *Just want to connecting, please do :)  ( 7 min )

FDIC Acting Chairman Travis Hill is set to testify at a House hearing that his agency is ready to propose a stablecoin application rule before the month is out.  ( 33 min )

The move will give access to the firm's 50 million clients to invest in regulated digital asset ETFs, a reversal from Vanguard's long-standing anti-crypto stance.  ( 32 min )

Peter Schiff took a victory lap after the company Monday morning announced it had raised $1.44 billion via common stock sales as a reserve to pay preferred dividends for nearly two years.  ( 33 min )

The prediction market is rolling out tokenized contracts on Solana to meet crypto traders where they already are, Kalshi told CNBC.  ( 32 min )

The move marks the first time spot crypto assets can trade on a federally regulated commodities venue, signaling the CFTC’s accelerating push to oversee retail digital-asset markets.  ( 32 min )

For now, Jack Mallers decided to not comment any further and JPMorgan declined to explain why it debanked the CEO of a company very similar to newly launched JPM Coin.  ( 35 min )

French Hill, the chairman of the House Financial Services Committee, issued a report outlining what went on at several U.S. crypto regulators in past years.  ( 34 min )

Hedera’s 10% drop on Dec. 1 has pushed HBAR back to a key support zone, where consolidation, fading volume, and institutional selling pressure are shaping the next move.  ( 33 min )

The token broke below $12, breaching key support levels with heavy trading volume, confirming the downtrend.  ( 32 min )

The average network hashrate fell 1% last month after hitting record highs in October.  ( 30 min )

Sharp 24-hour decline sends Internet Computer into fresh multi-day lows, with a high-volume support breach defining the session  ( 31 min )

A new ETP listing in Switzerland failed to lift BONK as the memecoin fell to fresh cycle lows amid a sharp technical breach of key support.  ( 31 min )

Strategy fell to the lowest since October, 2024, and ether and solana treasury plays including BitMine, Sharplink, Solana Company, Upexi tumbled nearly 10%.  ( 31 min )

Europol dismantled a crypto-mixing platform it said is used by ransomware groups and darknet markets to launder bitcoin, seizing servers, data and $29 million in BTC.  ( 31 min )

Scotiabank said Ottawa’s move toward a stablecoin framework is more about modernizing payments than reshaping broader financial markets.  ( 32 min )

The firm increased the pace of purchases from the previous week despite sitting on large unrealized losses on its ether bet.  ( 32 min )

Bitcoin Cash (BCH) also declined, shedding 4.8% over the weekend.  ( 28 min )

The broker said fears over Strategy’s solvency are misplaced and the stock remains the strongest asymmetric bet on bitcoin.  ( 32 min )

Led by Executive Chairman Michael Saylor, the company also added to its bitcoin holdings last week, bringing its total stack to 650,000 BTC.  ( 31 min )

DOT collapsed to $2.02 as technical breakdown accelerated on massive volume, exposing the psychological $2.00 level.  ( 31 min )

The acquisition brings Komodo’s atomic-swap technology, token ecosystem and core developers under the Gleec umbrella.  ( 31 min )

The drop came as crypto markets fell across the board, with the CoinDesk 20 Index down nearly 7%.  ( 32 min )

A sharp sell-off following the CME bitcoin futures open, compounded by hawkish signals from the Bank of Japan, dragged the CoinDesk 20 down nearly 6% on Monday.  ( 34 min )

Your day-ahead look for Dec. 1, 2025  ( 38 min )

The online banking arm of Sony Financial Group envisages the stablecoin being used to pay for games and anime.  ( 30 min )

Yarow will oversee CoinDesk Insights as its parent company looks to expand digital asset coverage across the globe.  ( 32 min )

Bank of Israel Governor Amir Yaron said stablecoins can no longer be viewed as marginal, citing their trillion-dollar trading volumes and growing systemic risks.  ( 32 min )

The permissions give Ripple more bandwidth to offer token-based settlement and related payment services to banks, fintechs and crypto firms operating in the city-state.  ( 32 min )

The proposed tax change, supported by the government, will categorize crypto profits under a separate-taxation framework.  ( 31 min )

Your look at what's coming in the week starting Dec. 1.  ( 36 min )

Ultra-low fees kept monetization in the basis-point range, leaving revenue unable to offset steep losses despite surging Hong Kong trading volumes.  ( 32 min )

Binance, Hyperliquid, and Bybit saw over $160 million in liquidations each, with longs making up almost 90% of the total.  ( 32 min )

The launch of DOGE ETFs from Grayscale and Bitwise saw only $2.16 million in inflows, failing to attract expected institutional interest.  ( 33 min )

The key indicator's negative flip indicates downside volatility ahead.  ( 32 min )

Despite expanding institutional infrastructure around XRP, short-term flows turned sharply bearish.  ( 32 min )

Virtual currencies lack the legal status of fiat money, Chinese officials said during an intra-agency meeting on Friday.  ( 31 min )

Short-term Japanese yields reached their highest level since 2008, strengthening the yen and pressuring leveraged crypto positions during Hong Kong trading hours.  ( 32 min )

Major cryptocurrencies traded lower in early Asia as DeFi platform Yearn noted at "incident" in its yETH pool.  ( 32 min )

Chinese artificial intelligence startup DeepSeek released two powerful new AI models on Sunday that the company claims match or exceed the capabilities of OpenAI's GPT-5 and Google's Gemini-3.0-Pro — a development that could reshape the competitive landscape between American tech giants and their Chinese challengers. The Hangzhou-based company launched DeepSeek-V3.2, designed as an everyday reasoning assistant, alongside DeepSeek-V3.2-Speciale, a high-powered variant that achieved gold-medal performance in four elite international competitions: the 2025 International Mathematical Olympiad, the International Olympiad in Informatics, the ICPC World Finals, and the China Mathematical Olympiad. The release carries profound implications for American technology leadership. DeepSeek has once aga…

When Liquid AI, a startup founded by MIT computer scientists back in 2023, introduced its Liquid Foundation Models series 2 (LFM2) in July 2025, the pitch was straightforward: deliver the fastest on-device foundation models on the market using the new "liquid" architecture, with training and inference efficiency that made small models a serious alternative to cloud-only large language models (LLMs) such as OpenAI's GPT series and Google's Gemini. The initial release shipped dense checkpoints at 350M, 700M, and 1.2B parameters, a hybrid architecture heavily weighted toward gated short convolutions, and benchmark numbers that placed LFM2 ahead of similarly sized competitors like Qwen3, Llama 3.2, and Gemma 3 on both quality and CPU throughput. The message to enterprises was clear: real-time…

A stealth artificial intelligence startup founded by an MIT researcher emerged this morning with an ambitious claim: its new AI model can control computers better than systems built by OpenAI and Anthropic — at a fraction of the cost. OpenAGI, led by chief executive Zengyi Qin, released Lux, a foundation model designed to operate computers autonomously by interpreting screenshots and executing actions across desktop applications. The San Francisco-based company says Lux achieves an 83.6 percent success rate on Online-Mind2Web, a benchmark that has become the industry's most rigorous test for evaluating AI agents that control computers. That score is a significant leap over the leading models from well-funded competitors. OpenAI's Operator, released in January, scores 61.3 percent on the sa…

As AI, cloud, and other technology investments soar, organizations have to make investment decisions with increased speed and clarity. Practices like FinOps, IT financial management (ITFM), and strategic portfolio management (SPM) help stakeholders evaluate opportunities and trade-offs for maximum value. But they depend on unified, reliable data. And that’s often where the challenge begins. AI can surface insights from data within specific domains, but important decisions rarely rely on a single source of data. To account for operational and organizational factors as well as financial impact, finance and IT teams have to cut through disconnected systems, outdated data, and inconsistent definitions of value. Real control over technology spend comes from financial intelligence — turning frag…

With some needed infrastructure now being developed for agentic commerce, enterprises will want to figure out how to participate in this new form of buying and selling. But it remains a fragmented Wild West with competing payment protocols, and it's unclear what enterprises need to do to prepare.  More cloud providers and AI model companies will start providing enterprises with the tools needed to begin building systems that enable agentic commerce. AWS, which will list Visa’s Intelligence Commerce platform on the AWS Marketplace, believes that making it easier to connect to tools that enable agentic payments would accelerate the adoption of agentic commerce.  While this doesn’t mean Amazon has formally adopted Visa’s Trusted Agent Protocol (TAP), which would bring the world’s largest e-co…

Welcome back to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday for the next two weeks, writers from both publications will debate one aspect of the generative AI revolution reshaping global power. This week, Richard Waters, FT columnist and former West Coast editor, talks with MIT…  ( 26 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. An AI model trained on prison phone calls now looks for planned crimes in those calls A US telecom company trained an AI model on years of inmates’ phone and video calls and…  ( 21 min )

We have some exciting news: Nominations are now open for MIT Technology Review’s 2026 Innovators Under 35 competition. This annual list recognizes 35 of the world’s best young scientists and inventors, and our newsroom has produced it for more than two decades.  It’s free to nominate yourself or someone you know, and it only takes…  ( 17 min )